upload 9 file

Bhankhara_Df_11_he_5_2020-21.geojson

@@ -0,0 +1,8 @@
+{
+"type": "FeatureCollection",
+"name": "Bhankhara Df 11 he 5 2020-21",
+"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
+"features": [
+{ "type": "Feature", "properties": { "Name": "bhankhara Df " }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 73.232880205954501, 23.9293492015216 ], [ 73.2320424558106, 23.9295414782706 ], [ 73.231770305881497, 23.929079612195199 ], [ 73.230492834793793, 23.929757112420202 ], [ 73.2296710069635, 23.930461233260601 ], [ 73.2287325848189, 23.929426068463702 ], [ 73.230010982152606, 23.928454021654801 ], [ 73.231320825956999, 23.9274161693899 ], [ 73.231748632627799, 23.9277412596551 ], [ 73.232405167342506, 23.927898156106 ], [ 73.232880205954501, 23.9293492015216 ] ] ] } }
+]
+}

CoalTPP_Locations - small_dataset.csv

@@ -0,0 +1,6 @@
+name,latitude,longitude
+PANIPAT TPS,29.3975059,76.8763161
+RAJIV GANDHI TPS,29.34698,75.857538
+YAMUNA NAGAR TPS,30.1075175,77.3267646
+GH TPS (LEH.MOH.),30.2674,75.1644
+GOINDWAL SAHIB TPP,31.38414,75.146503

CoalTPP_Locations.csv

@@ -0,0 +1,185 @@
+name,latitude,longitude
+PANIPAT TPS,29.3975059,76.8763161
+RAJIV GANDHI TPS,29.34698,75.857538
+YAMUNA NAGAR TPS,30.1075175,77.3267646
+GH TPS (LEH.MOH.),30.2674,75.1644
+GOINDWAL SAHIB TPP,31.38414,75.146503
+ROPAR TPS,31.0417,76.5847
+CHHABRA-II TPP,24.6236,77.0383
+CHHABRA-I PH-1 TPP,24.62092,77.035439
+CHHABRA-I PH-2 TPP,24.63433,77.0385039
+KALISINDH TPS,24.5325129,76.100353
+KOTA TPS,25.1717,75.8169
+SURATGARH STPS,29.181766,74.018741
+SURATGARH TPS,29.181766,74.018741
+ANPARA TPS,24.202043,82.789128
+HARDUAGANJ TPS,28.0175,78.13
+JAWAHARPUR STPP,27.497098,78.826071
+OBRA TPS,24.4445803,82.9803325
+PARICHHA TPS,25.513571,78.757918
+DSPM TPS,22.368196,82.721986
+KORBA-WEST TPS,22.412536,82.682187
+MARWA TPS,22.070801,82.602189
+GANDHI NAGAR TPS,23.249722,72.673889
+UKAI TPS,21.2093,73.5574
+WANAKBORI TPS,22.8725375,73.3588028
+AMARKANTAK EXT TPS,23.162146,81.632816
+SANJAY GANDHI TPS,23.305744,81.064817
+SATPURA TPS,22.108133,78.177072
+SHREE SINGAJI TPP,22.09914,76.531727
+BHUSAWAL TPS,21.04798,75.85502
+CHANDRAPUR(MAHARASHTRA) STPS,20.0063,79.29
+KHAPARKHEDA TPS,21.276138,79.121518
+KORADI TPS,21.2420685,79.0949659
+NASIK TPS,19.9814589,73.8920556
+PARAS TPS,20.7147,76.7948
+PARLI TPS,18.9075857,76.5429497
+Dr. N.TATA RAO TPS,16.5984901,80.5365853
+RAYALASEEMA TPS,14.697282,78.459364
+DAMODARAM SANJEEVAIAH TPS,14.327604,80.122105
+BELLARY TPS,15.1931738,76.7195034
+RAICHUR TPS,16.3532,77.3422
+YERMARUS TPP,16.295261,77.35612
+METTUR TPS,11.7720201,77.8141046
+METTUR TPS - II,11.7744564,77.8172243
+NORTH CHENNAI TPS,13.253013,80.327804
+TUTICORIN TPS,8.762518,78.175976
+SINGARENI TPP,18.837231,79.574766
+BHADRADRI TPP,18.027488,80.735645
+KAKATIYA TPS,18.3831934,79.8271644
+KOTHAGUDEM TPS (NEW),17.6219,80.69355
+KOTHAGUDEM TPS (STAGE-7),,
+RAMAGUNDEM-B TPS,,
+TENUGHAT TPS,23.7276632,85.7652325
+IB VALLEY TPS,21.690729,83.860096
+D.P.L. TPS,23.521147,87.302309
+BAKRESWAR TPS,23.8292205,87.451034
+BANDEL TPS,22.995746,88.403815
+KOLAGHAT TPS,22.416565,87.870984
+SAGARDIGHI TPS,24.3688141,88.1040001
+SANTALDIH TPS,23.6013,86.4666
+DADRI (NCTPP),28.603,77.6078
+RIHAND STPS,24.027,82.7915
+SINGRAULI STPS,24.1042119,82.7063552
+TANDA TPS,26.5894846,82.601235
+UNCHAHAR TPS,25.9137597,81.3272384
+GADARWARA TPP,22.861752,78.866129
+KHARGONE STPP,22.065169,75.851943
+KORBA STPS,22.3874221,82.6818961
+LARA TPP,21.757661,83.457545
+MAUDA TPS,21.18074,79.396541
+SIPAT STPS,22.131662,82.29035
+SOLAPUR STPS,17.551296,75.9832
+VINDHYACHAL STPS,24.0983,82.6719
+KUDGI STPP,16.499546,75.834632
+RAMAGUNDEM STPS,18.7584502,79.4573172
+SIMHADRI,17.591,83.09166
+TELANGANA STPP PH-1,18.7584502,79.4573172
+BARAUNI TPS,25.391376,86.023488
+BARH STPS,25.4693,85.74516
+DARLIPALI STPS,21.963554,83.89187
+FARAKKA STPS,24.772729,87.893707
+KAHALGAON TPS,25.236903,87.265595
+NORTH KARANPURA TPP,23.850772,85.012411
+TALCHER STPS,21.098074,85.074005
+BONGAIGAON TPP,26.44437,90.367205
+INDIRA GANDHI STPP,28.485091,76.37316
+MEJA STPP,25.145867,81.940096
+BHILAI TPS,21.184,81.4237
+SEIONI TPP,22.735479,79.912341
+VALLUR TPP,13.237131,80.301754
+MUZAFFARPUR TPS,26.194771,85.303302
+NABINAGAR STPP,24.776,84.158025
+NABINAGAR TPP,24.705081,84.088738
+BOKARO TPS `A` EXP,23.782944,85.883391
+CHANDRAPURA(DVC) TPS,20.0063,79.29
+DURGAPUR STEEL TPS,23.531506,87.249856
+KODARMA TPP,24.391534,85.561899
+MEJIA TPS,23.4639,87.1311
+RAGHUNATHPUR TPP,23.62191,86.660703
+NTPL TUTICORIN TPP,8.760363,78.171083
+ADANI POWER LIMITED KAWAI TPP,24.777997,76.737144
+ADANI POWER LIMITED RAIGARH TPP,21.743775,83.274093
+ADANI POWER LIMITED RAIPUR TPP,21.449918,81.852474
+ADANI POWER LIMITED TIRODA TPP,21.412502,79.96731
+AKALTARA TPS,21.960296,82.409064
+AMRAVATI TPS,21.080316,77.901242
+ANPARA C TPS,24.202043,82.789128
+ANUPPUR TPP,23.073731,81.784286
+BALCO TPS,22.3930944,82.7439443
+BANDAKHAR TPP,22.340954,82.430603
+BARADARHA TPS,21.911436,83.188863
+BARKHERA TPS,28.55,80.1
+BELA TPS,20.806389,79.051944
+BINA TPS,24.317222,78.133564
+BINJKOTE TPP,22.010422,83.205779
+BUDGE BUDGE TPS,22.470344,88.139949
+DAHANU TPS,19.9545,72.7478
+DERANG TPP,21.127044,84.980552
+DHARIWAL TPP,20.010588,79.203433
+DISHERGARH TPP,,
+GMR WARORA TPS,20.279656,78.975351
+HALDIA TPP,22.060459,88.109748
+HIRANMAYE TPP,22.076989,88.098413
+JOJOBERA TPS,22.7554,86.2491
+KAMALANGA TPS,20.870576,85.266979
+KHAMBARKHERA TPS,27.9,80.8
+KUNDARKI TPS,27.03,82.23
+LALITPUR TPS,24.795833,78.646944
+MAHADEV PRASAD STPP,22.836504,86.061294
+MAHAN TPP,24.008674,82.41703
+MAHATMA GANDHI TPS,28.488143,76.352534
+MAITHON RB TPP,23.8209,86.76
+MAQSOODPUR TPS,27.81,79.94
+NAWAPARA TPP,21.906738,83.128556
+NIGRI TPP,24.14997,81.904525
+OP JINDAL TPS,22.104,83.445
+PAINAMPURAM TPP,14.351195,80.143086
+PATHADI TPP,22.2454,82.7246
+PRAYAGRAJ TPP,25.196345,81.658534
+RAJPURA TPP,30.558963,76.577593
+ROSA TPP Ph-I,27.8194455,79.9371618
+SABARMATI (D-F STATIONS),23.070555,72.593889
+SASAN UMTPP,23.9775233,82.6264733
+SGPL TPP,14.351195,80.143086
+SHIRPUR TPP,21.15103,74.854206
+SOUTHERN REPL. TPS,22.549591,88.291512
+TALWANDI SABO TPP,29.92458,75.238929
+TAMNAR TPP,22.098747,83.451312
+UCHPINDA TPP,21.8864,83.12081
+UTKAL TPP (IND BARATH),21.657942,83.919513
+UTRAULA TPS,27.43,82.18
+VEDANTA TPP,21.815743,84.042036
+VIZAG TPP,17.563642,83.138877
+WARDHA WARORA TPP,20.272443,78.978916
+SIKKA REP. TPS,22.420828,69.8276
+ADANI POWER LIMITED MUNDRA TPP - III,22.8234904,69.5534831
+ADANI POWER LIMITED MUNDRA TPP - I & II,22.8234904,69.5534831
+ADANI POWER LIMITED UDUPI TPP,13.1596,74.8002
+ITPCL TPP,11.5216092,79.7518447
+JSW RATNAGIRI TPP,17.296375,73.213105
+MUNDRA UMTPP,22.8158,69.5281
+MUTHIARA TPP,8.912716,78.144965
+OPG Power Generation Private Limited,13.437422,80.09788
+SALAYA TPP,22.3049,69.7101
+SHREE CEMENT LTD TPS,26.073889,74.385
+SIMHAPURI TPS,14.204576,80.086636
+THAMMINAPATNAM TPS,,
+TORANGALLU TPS(SBU-I),15.186771,76.6621387
+TORANGALLU TPS(SBU-II),15.186771,76.6621387
+TROMBAY TPS,19.0027,72.8979
+TUTICORIN TPP ST-IV,,
+BUTIBORI TPP,20.928591,78.933281
+MIHAN TPS,21.0377,78.9334
+NASIK (P) TPS,,
+SALORA TPP,22.489952,82.606239
+TUTICORIN (P) TPP,,
+TITAGARH TPS,22.731974,88.370309
+CHAKABURA TPP,22.393653,82.553249
+GEPL TPP Ph-I,19.92949,79.133159
+KASAIPALLI TPP,22.38895,82.5549
+KATGHORA TPP,22.489779,82.60618
+NIWARI TPP,25.43,79.71
+RATIJA TPS,22.339994,82.492776
+SVPL TPP,22.292,82.5254
+SWASTIK KORBA TPP,,

CoalTPP_Locations.geojson

@@ -0,0 +1,183 @@
+{
+"type": "FeatureCollection",
+"name": "CoalTPP_Locations",
+"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
+"features": [
+{ "type": "Feature", "properties": { "Name": "PANIPAT TPS", "Latitude": 29.3975059, "Longitude": 76.8763161 }, "geometry": { "type": "Point", "coordinates": [ 76.8763161, 29.3975059 ] } },
+{ "type": "Feature", "properties": { "Name": "RAJIV GANDHI TPS", "Latitude": 29.34698, "Longitude": 75.857538 }, "geometry": { "type": "Point", "coordinates": [ 75.857538, 29.34698 ] } },
+{ "type": "Feature", "properties": { "Name": "YAMUNA NAGAR TPS", "Latitude": 30.1075175, "Longitude": 77.3267646 }, "geometry": { "type": "Point", "coordinates": [ 77.3267646, 30.1075175 ] } },
+{ "type": "Feature", "properties": { "Name": "GH TPS (LEH.MOH.)", "Latitude": 30.2674, "Longitude": 75.1644 }, "geometry": { "type": "Point", "coordinates": [ 75.1644, 30.2674 ] } },
+{ "type": "Feature", "properties": { "Name": "GOINDWAL SAHIB TPP", "Latitude": 31.38414, "Longitude": 75.146503 }, "geometry": { "type": "Point", "coordinates": [ 75.146503, 31.38414 ] } },
+{ "type": "Feature", "properties": { "Name": "ROPAR TPS", "Latitude": 31.0417, "Longitude": 76.5847 }, "geometry": { "type": "Point", "coordinates": [ 76.5847, 31.0417 ] } },
+{ "type": "Feature", "properties": { "Name": "CHHABRA-II TPP", "Latitude": 24.6236, "Longitude": 77.0383 }, "geometry": { "type": "Point", "coordinates": [ 77.0383, 24.6236 ] } },
+{ "type": "Feature", "properties": { "Name": "CHHABRA-I PH-1 TPP", "Latitude": 24.62092, "Longitude": 77.035439 }, "geometry": { "type": "Point", "coordinates": [ 77.035439, 24.62092 ] } },
+{ "type": "Feature", "properties": { "Name": "CHHABRA-I PH-2 TPP", "Latitude": 24.63433, "Longitude": 77.0385039 }, "geometry": { "type": "Point", "coordinates": [ 77.0385039, 24.63433 ] } },
+{ "type": "Feature", "properties": { "Name": "KALISINDH TPS", "Latitude": 24.5325129, "Longitude": 76.100353 }, "geometry": { "type": "Point", "coordinates": [ 76.100353, 24.5325129 ] } },
+{ "type": "Feature", "properties": { "Name": "KOTA TPS", "Latitude": 25.1717, "Longitude": 75.8169 }, "geometry": { "type": "Point", "coordinates": [ 75.8169, 25.1717 ] } },
+{ "type": "Feature", "properties": { "Name": "SURATGARH STPS", "Latitude": 29.181766, "Longitude": 74.018741 }, "geometry": { "type": "Point", "coordinates": [ 74.018741, 29.181766 ] } },
+{ "type": "Feature", "properties": { "Name": "SURATGARH TPS", "Latitude": 29.181766, "Longitude": 74.018741 }, "geometry": { "type": "Point", "coordinates": [ 74.018741, 29.181766 ] } },
+{ "type": "Feature", "properties": { "Name": "ANPARA TPS", "Latitude": 24.202043, "Longitude": 82.789128 }, "geometry": { "type": "Point", "coordinates": [ 82.789128, 24.202043 ] } },
+{ "type": "Feature", "properties": { "Name": "HARDUAGANJ TPS", "Latitude": 28.0175, "Longitude": 78.13 }, "geometry": { "type": "Point", "coordinates": [ 78.13, 28.0175 ] } },
+{ "type": "Feature", "properties": { "Name": "JAWAHARPUR STPP", "Latitude": 27.497098, "Longitude": 78.826071 }, "geometry": { "type": "Point", "coordinates": [ 78.826071, 27.497098 ] } },
+{ "type": "Feature", "properties": { "Name": "OBRA TPS", "Latitude": 24.4445803, "Longitude": 82.9803325 }, "geometry": { "type": "Point", "coordinates": [ 82.9803325, 24.4445803 ] } },
+{ "type": "Feature", "properties": { "Name": "PARICHHA TPS", "Latitude": 25.513571, "Longitude": 78.757918 }, "geometry": { "type": "Point", "coordinates": [ 78.757918, 25.513571 ] } },
+{ "type": "Feature", "properties": { "Name": "DSPM TPS", "Latitude": 22.368196, "Longitude": 82.721986 }, "geometry": { "type": "Point", "coordinates": [ 82.721986, 22.368196 ] } },
+{ "type": "Feature", "properties": { "Name": "KORBA-WEST TPS", "Latitude": 22.412536, "Longitude": 82.682187 }, "geometry": { "type": "Point", "coordinates": [ 82.682187, 22.412536 ] } },
+{ "type": "Feature", "properties": { "Name": "MARWA TPS", "Latitude": 22.070801, "Longitude": 82.602189 }, "geometry": { "type": "Point", "coordinates": [ 82.602189, 22.070801 ] } },
+{ "type": "Feature", "properties": { "Name": "GANDHI NAGAR TPS", "Latitude": 23.249722, "Longitude": 72.673889 }, "geometry": { "type": "Point", "coordinates": [ 72.673889, 23.249722 ] } },
+{ "type": "Feature", "properties": { "Name": "UKAI TPS", "Latitude": 21.2093, "Longitude": 73.5574 }, "geometry": { "type": "Point", "coordinates": [ 73.5574, 21.2093 ] } },
+{ "type": "Feature", "properties": { "Name": "WANAKBORI TPS", "Latitude": 22.8725375, "Longitude": 73.3588028 }, "geometry": { "type": "Point", "coordinates": [ 73.3588028, 22.8725375 ] } },
+{ "type": "Feature", "properties": { "Name": "AMARKANTAK EXT TPS", "Latitude": 23.162146, "Longitude": 81.632816 }, "geometry": { "type": "Point", "coordinates": [ 81.632816, 23.162146 ] } },
+{ "type": "Feature", "properties": { "Name": "SANJAY GANDHI TPS", "Latitude": 23.305744, "Longitude": 81.064817 }, "geometry": { "type": "Point", "coordinates": [ 81.064817, 23.305744 ] } },
+{ "type": "Feature", "properties": { "Name": "SATPURA TPS", "Latitude": 22.108133, "Longitude": 78.177072 }, "geometry": { "type": "Point", "coordinates": [ 78.177072, 22.108133 ] } },
+{ "type": "Feature", "properties": { "Name": "SHREE SINGAJI TPP", "Latitude": 22.09914, "Longitude": 76.531727 }, "geometry": { "type": "Point", "coordinates": [ 76.531727, 22.09914 ] } },
+{ "type": "Feature", "properties": { "Name": "BHUSAWAL TPS", "Latitude": 21.04798, "Longitude": 75.85502 }, "geometry": { "type": "Point", "coordinates": [ 75.85502, 21.04798 ] } },
+{ "type": "Feature", "properties": { "Name": "CHANDRAPUR(MAHARASHTRA) STPS", "Latitude": 20.0063, "Longitude": 79.29 }, "geometry": { "type": "Point", "coordinates": [ 79.29, 20.0063 ] } },
+{ "type": "Feature", "properties": { "Name": "KHAPARKHEDA TPS", "Latitude": 21.276138, "Longitude": 79.121518 }, "geometry": { "type": "Point", "coordinates": [ 79.121518, 21.276138 ] } },
+{ "type": "Feature", "properties": { "Name": "KORADI TPS", "Latitude": 21.2420685, "Longitude": 79.0949659 }, "geometry": { "type": "Point", "coordinates": [ 79.0949659, 21.2420685 ] } },
+{ "type": "Feature", "properties": { "Name": "NASIK TPS", "Latitude": 19.9814589, "Longitude": 73.8920556 }, "geometry": { "type": "Point", "coordinates": [ 73.8920556, 19.9814589 ] } },
+{ "type": "Feature", "properties": { "Name": "PARAS TPS", "Latitude": 20.7147, "Longitude": 76.7948 }, "geometry": { "type": "Point", "coordinates": [ 76.7948, 20.7147 ] } },
+{ "type": "Feature", "properties": { "Name": "PARLI TPS", "Latitude": 18.9075857, "Longitude": 76.5429497 }, "geometry": { "type": "Point", "coordinates": [ 76.5429497, 18.9075857 ] } },
+{ "type": "Feature", "properties": { "Name": "Dr. N.TATA RAO TPS", "Latitude": 16.5984901, "Longitude": 80.5365853 }, "geometry": { "type": "Point", "coordinates": [ 80.5365853, 16.5984901 ] } },
+{ "type": "Feature", "properties": { "Name": "RAYALASEEMA TPS", "Latitude": 14.697282, "Longitude": 78.459364 }, "geometry": { "type": "Point", "coordinates": [ 78.459364, 14.697282 ] } },
+{ "type": "Feature", "properties": { "Name": "DAMODARAM SANJEEVAIAH TPS", "Latitude": 14.327604, "Longitude": 80.122105 }, "geometry": { "type": "Point", "coordinates": [ 80.122105, 14.327604 ] } },
+{ "type": "Feature", "properties": { "Name": "BELLARY TPS", "Latitude": 15.1931738, "Longitude": 76.7195034 }, "geometry": { "type": "Point", "coordinates": [ 76.7195034, 15.1931738 ] } },
+{ "type": "Feature", "properties": { "Name": "RAICHUR TPS", "Latitude": 16.3532, "Longitude": 77.3422 }, "geometry": { "type": "Point", "coordinates": [ 77.3422, 16.3532 ] } },
+{ "type": "Feature", "properties": { "Name": "YERMARUS TPP", "Latitude": 16.295261, "Longitude": 77.35612 }, "geometry": { "type": "Point", "coordinates": [ 77.35612, 16.295261 ] } },
+{ "type": "Feature", "properties": { "Name": "METTUR TPS", "Latitude": 11.7720201, "Longitude": 77.8141046 }, "geometry": { "type": "Point", "coordinates": [ 77.8141046, 11.7720201 ] } },
+{ "type": "Feature", "properties": { "Name": "METTUR TPS - II", "Latitude": 11.7744564, "Longitude": 77.8172243 }, "geometry": { "type": "Point", "coordinates": [ 77.8172243, 11.7744564 ] } },
+{ "type": "Feature", "properties": { "Name": "NORTH CHENNAI TPS", "Latitude": 13.253013, "Longitude": 80.327804 }, "geometry": { "type": "Point", "coordinates": [ 80.327804, 13.253013 ] } },
+{ "type": "Feature", "properties": { "Name": "TUTICORIN TPS", "Latitude": 8.762518, "Longitude": 78.175976 }, "geometry": { "type": "Point", "coordinates": [ 78.175976, 8.762518 ] } },
+{ "type": "Feature", "properties": { "Name": "SINGARENI TPP", "Latitude": 18.837231, "Longitude": 79.574766 }, "geometry": { "type": "Point", "coordinates": [ 79.574766, 18.837231 ] } },
+{ "type": "Feature", "properties": { "Name": "BHADRADRI TPP", "Latitude": 18.027488, "Longitude": 80.735645 }, "geometry": { "type": "Point", "coordinates": [ 80.735645, 18.027488 ] } },
+{ "type": "Feature", "properties": { "Name": "KAKATIYA TPS", "Latitude": 18.3831934, "Longitude": 79.8271644 }, "geometry": { "type": "Point", "coordinates": [ 79.8271644, 18.3831934 ] } },
+{ "type": "Feature", "properties": { "Name": "KOTHAGUDEM TPS (NEW)", "Latitude": 17.6219, "Longitude": 80.69355 }, "geometry": { "type": "Point", "coordinates": [ 80.69355, 17.6219 ] } },
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+{ "type": "Feature", "properties": { "Name": "SALAYA TPP", "Latitude": 22.3049, "Longitude": 69.7101 }, "geometry": { "type": "Point", "coordinates": [ 69.7101, 22.3049 ] } },
+{ "type": "Feature", "properties": { "Name": "SHREE CEMENT LTD TPS", "Latitude": 26.073889, "Longitude": 74.385 }, "geometry": { "type": "Point", "coordinates": [ 74.385, 26.073889 ] } },
+{ "type": "Feature", "properties": { "Name": "SIMHAPURI TPS", "Latitude": 14.204576, "Longitude": 80.086636 }, "geometry": { "type": "Point", "coordinates": [ 80.086636, 14.204576 ] } },
+{ "type": "Feature", "properties": { "Name": "TORANGALLU TPS(SBU-I)", "Latitude": 15.186771, "Longitude": 76.6621387 }, "geometry": { "type": "Point", "coordinates": [ 76.6621387, 15.186771 ] } },
+{ "type": "Feature", "properties": { "Name": "TORANGALLU TPS(SBU-II)", "Latitude": 15.186771, "Longitude": 76.6621387 }, "geometry": { "type": "Point", "coordinates": [ 76.6621387, 15.186771 ] } },
+{ "type": "Feature", "properties": { "Name": "TROMBAY TPS", "Latitude": 19.0027, "Longitude": 72.8979 }, "geometry": { "type": "Point", "coordinates": [ 72.8979, 19.0027 ] } },
+{ "type": "Feature", "properties": { "Name": "BUTIBORI TPP", "Latitude": 20.928591, "Longitude": 78.933281 }, "geometry": { "type": "Point", "coordinates": [ 78.933281, 20.928591 ] } },
+{ "type": "Feature", "properties": { "Name": "MIHAN TPS", "Latitude": 21.0377, "Longitude": 78.9334 }, "geometry": { "type": "Point", "coordinates": [ 78.9334, 21.0377 ] } },
+{ "type": "Feature", "properties": { "Name": "SALORA TPP", "Latitude": 22.489952, "Longitude": 82.606239 }, "geometry": { "type": "Point", "coordinates": [ 82.606239, 22.489952 ] } },
+{ "type": "Feature", "properties": { "Name": "TITAGARH TPS", "Latitude": 22.731974, "Longitude": 88.370309 }, "geometry": { "type": "Point", "coordinates": [ 88.370309, 22.731974 ] } },
+{ "type": "Feature", "properties": { "Name": "CHAKABURA TPP", "Latitude": 22.393653, "Longitude": 82.553249 }, "geometry": { "type": "Point", "coordinates": [ 82.553249, 22.393653 ] } },
+{ "type": "Feature", "properties": { "Name": "GEPL TPP Ph-I", "Latitude": 19.92949, "Longitude": 79.133159 }, "geometry": { "type": "Point", "coordinates": [ 79.133159, 19.92949 ] } },
+{ "type": "Feature", "properties": { "Name": "KASAIPALLI TPP", "Latitude": 22.38895, "Longitude": 82.5549 }, "geometry": { "type": "Point", "coordinates": [ 82.5549, 22.38895 ] } },
+{ "type": "Feature", "properties": { "Name": "KATGHORA TPP", "Latitude": 22.489779, "Longitude": 82.60618 }, "geometry": { "type": "Point", "coordinates": [ 82.60618, 22.489779 ] } },
+{ "type": "Feature", "properties": { "Name": "NIWARI TPP", "Latitude": 25.43, "Longitude": 79.71 }, "geometry": { "type": "Point", "coordinates": [ 79.71, 25.43 ] } },
+{ "type": "Feature", "properties": { "Name": "RATIJA TPS", "Latitude": 22.339994, "Longitude": 82.492776 }, "geometry": { "type": "Point", "coordinates": [ 82.492776, 22.339994 ] } },
+{ "type": "Feature", "properties": { "Name": "SVPL TPP", "Latitude": 22.292, "Longitude": 82.5254 }, "geometry": { "type": "Point", "coordinates": [ 82.5254, 22.292 ] } }
+]
+}

app.py

@@ -0,0 +1,398 @@
+import streamlit as st
+import json
+import ee
+import os
+import pandas as pd
+import geopandas as gpd
+from datetime import datetime
+import leafmap.foliumap as leafmap
+import time
+import re
+
+# Set up the page layout
+st.set_page_config(layout="wide")
+
+# Custom button styling
+m = st.markdown(
+    """
+    <style>
+    div.stButton > button:first-child {
+        background-color: #006400;
+        color:#ffffff;
+    }
+    </style>""",
+    unsafe_allow_html=True,
+)
+
+# Logo
+st.write(
+    f"""
+    <div style="display: flex; justify-content: space-between; align-items: center;">
+        <img src="https://huggingface.co/spaces/YashMK89/GEE_Calculator/resolve/main/ISRO_Logo.png"  style="width: 20%; margin-right: auto;">
+        <img src="https://huggingface.co/spaces/YashMK89/GEE_Calculator/resolve/main/SAC_Logo.png"  style="width: 20%; margin-left: auto;">
+    </div>
+    """,
+    unsafe_allow_html=True,
+)
+
+# Authenticate and initialize Earth Engine
+earthengine_credentials = os.environ.get("EE_Authentication")
+
+# Initialize Earth Engine with secret credentials
+os.makedirs(os.path.expanduser("~/.config/earthengine/"), exist_ok=True)
+with open(os.path.expanduser("~/.config/earthengine/credentials"), "w") as f:
+    f.write(earthengine_credentials)
+
+ee.Initialize(project='ee-yashsacisro24')
+
+# Load Sentinel dataset options from JSON file
+with open("sentinel_datasets.json") as f:
+    data = json.load(f)
+
+# Display the title and dataset selection
+st.title("Sentinel Dataset")
+
+# Select dataset category and subcategory (case-insensitive selection)
+main_selection = st.selectbox("Select Sentinel Dataset Category", list(data.keys()))
+
+if main_selection:
+    sub_options = data[main_selection]["sub_options"]
+    sub_selection = st.selectbox("Select Specific Dataset ID", list(sub_options.keys()))
+
+# Earth Engine Index Calculator Section
+st.header("Earth Engine Index Calculator")
+
+# Choose Index or Custom Formula (case-insensitive)
+index_choice = st.selectbox("Select an Index or Enter Custom Formula", ['NDVI', 'NDWI', 'Average NO₂', 'Custom Formula'])
+
+# Initialize custom_formula variable
+custom_formula = ""
+
+# Display corresponding formula based on the index selected (case-insensitive)
+if index_choice.lower() == 'ndvi':
+    st.write("Formula for NDVI: NDVI = (B8 - B4) / (B8 + B4)")
+elif index_choice.lower() == 'ndwi':
+    st.write("Formula for NDWI: NDWI = (B3 - B8) / (B3 + B8)")
+elif index_choice.lower() == 'average no₂':
+    st.write("Formula for Average NO₂: Average NO₂ = Mean(NO2 band)")
+elif index_choice.lower() == 'custom formula':
+    custom_formula = st.text_input("Enter Custom Formula (e.g., 'B5 - B4 / B5 + B4')")
+    st.write(f"Custom Formula: {custom_formula}")  # Display the custom formula after the user inputs it
+
+# Function to check if the polygon geometry is valid and convert it to the correct format
+def convert_to_ee_geometry(geometry):
+    # Ensure the polygon geometry is in the right format
+    if geometry.is_valid:
+        # Convert the geometry to GeoJSON format
+        geojson = geometry.__geo_interface__
+        # Convert to Earth Engine geometry
+        return ee.Geometry(geojson)
+    else:
+        raise ValueError("Invalid geometry: The polygon geometry is not valid.")
+
+# Function to read points from CSV
+def read_csv(file_path):
+    df = pd.read_csv(file_path)
+    return df
+
+# Function to read points from GeoJSON
+def read_geojson(file_path):
+    gdf = gpd.read_file(file_path)
+    return gdf
+
+# Function to read points from KML
+def read_kml(file_path):
+    gdf = gpd.read_file(file_path, driver='KML')
+    return gdf
+
+# Ask user whether they want to process 'Point' or 'Polygon' data (case-insensitive)
+shape_type = st.selectbox("Do you want to process 'Point' or 'Polygon' data?", ["Point", "Polygon"])
+
+# Ask user to upload a file based on shape type (case-insensitive)
+file_upload = st.file_uploader(f"Upload your {shape_type} data (CSV, GeoJSON, KML)", type=["csv", "geojson", "kml"])
+
+# Date Input for Start and End Dates
+start_date = st.date_input("Start Date", value=pd.to_datetime('2020-01-01'))
+end_date = st.date_input("End Date", value=pd.to_datetime('2020-12-31'))
+
+# Convert start_date and end_date to string format for Earth Engine
+start_date_str = start_date.strftime('%Y-%m-%d')
+end_date_str = end_date.strftime('%Y-%m-%d')
+
+# Initialize session state for storing results if not already done
+if 'results' not in st.session_state:
+    st.session_state.results = []
+if 'last_params' not in st.session_state:
+    st.session_state.last_params = {}
+if 'map_data' not in st.session_state:
+    st.session_state.map_data = None  # Initialize map_data
+
+if 'file_upload' in st.session_state:
+    st.session_state.file_upload = None 
+
+# Function to check if parameters have changed
+def parameters_changed():
+    return (
+        st.session_state.last_params.get('main_selection') != main_selection or
+        st.session_state.last_params.get('sub_selection') != sub_selection or
+        st.session_state.last_params.get('index_choice') != index_choice or
+        st.session_state.last_params.get('start_date_str') != start_date_str or
+        st.session_state.last_params.get('end_date_str') != end_date_str
+    )
+
+# If parameters have changed, reset the results
+if parameters_changed():
+    st.session_state.results = []  # Clear the previous results
+    # Update the last parameters to the current ones
+    st.session_state.last_params = {
+        'main_selection': main_selection,
+        'sub_selection': sub_selection,
+        'index_choice': index_choice,
+        'start_date_str': start_date_str,
+        'end_date_str': end_date_str
+    }
+
+# Function to perform index calculations
+def calculate_ndvi(image, geometry):
+    ndvi = image.normalizedDifference(['B8', 'B4']).rename('NDVI')
+    result = ndvi.reduceRegion(
+        reducer=ee.Reducer.mean(),
+        geometry=geometry,
+        scale=30
+    )
+    return result.get('NDVI')
+
+def calculate_ndwi(image, geometry):
+    ndwi = image.normalizedDifference(['B3', 'B8']).rename('NDWI')
+    result = ndwi.reduceRegion(
+        reducer=ee.Reducer.mean(),
+        geometry=geometry,
+        scale=30
+    )
+    return result.get('NDWI')
+
+def calculate_avg_no2_sentinel5p(image, geometry):
+    no2 = image.select('NO2').reduceRegion(
+        reducer=ee.Reducer.mean(),
+        geometry=geometry,
+        scale=1000
+    ).get('NO2')
+    return no2
+
+def calculate_custom_formula(image, geometry, formula):
+    result = image.expression(formula).rename('Custom Index').reduceRegion(
+        reducer=ee.Reducer.mean(),
+        geometry=geometry,
+        scale=30
+    )
+    return result.get('Custom Index')
+
+# Check if the file uploaded is different from the previous file uploaded
+if 'file_upload' in st.session_state and st.session_state.file_upload != file_upload:
+    reset_session_state_for_new_file()  # Reset session state for new file
+
+# Process each point or polygon
+if file_upload:
+    locations_df = None  # Initialize locations_df to None
+    polygons_df = None   # Initialize polygons_df to None
+
+    file_extension = os.path.splitext(file_upload.name)[1].lower()  # Convert extension to lowercase
+
+    # Read file based on shape type (case-insensitive)
+    if shape_type.lower() == 'point':
+        if file_extension == '.csv':
+            locations_df = read_csv(file_upload)
+        elif file_extension == '.geojson':
+            locations_df = read_geojson(file_upload)
+        elif file_extension == '.kml':
+            locations_df = read_kml(file_upload)
+        else:
+            st.error("Unsupported file type. Please upload a CSV, GeoJSON, or KML file for points.")
+    elif shape_type.lower() == 'polygon':
+        if file_extension == '.geojson':
+            polygons_df = read_geojson(file_upload)
+        elif file_extension == '.kml':
+            polygons_df = read_kml(file_upload)
+        else:
+            st.error("Unsupported file type. Please upload a GeoJSON or KML file for polygons.")
+    
+    # Check if locations_df is populated for points
+    if locations_df is not None:
+        # Display a preview of the points data
+        st.write("Preview of the uploaded points data:")
+        st.dataframe(locations_df.head())
+
+        # Create a LeafMap object to display the points
+        m = leafmap.Map(center=[locations_df['latitude'].mean(), locations_df['longitude'].mean()], zoom=10)
+
+        # Add points to the map using a loop
+        for _, row in locations_df.iterrows():
+            latitude = row['latitude']
+            longitude = row['longitude']
+            
+            # Check if latitude or longitude are NaN and skip if they are
+            if pd.isna(latitude) or pd.isna(longitude):
+                continue  # Skip this row and move to the next one
+            
+            m.add_marker(location=[latitude, longitude], popup=row.get('name', 'No Name'))
+
+        # Display map
+        st.write("Map of Uploaded Points:")
+        m.to_streamlit()
+
+        # Store the map in session_state
+        st.session_state.map_data = m
+
+        # Process each point for index calculation
+        for idx, row in locations_df.iterrows():
+            latitude = row['latitude']
+            longitude = row['longitude']
+            location_name = row.get('name', f"Point_{idx}")
+
+            # Skip processing if latitude or longitude is NaN
+            if pd.isna(latitude) or pd.isna(longitude):
+                continue  # Skip this row and move to the next one
+
+            # Define the region of interest (ROI)
+            roi = ee.Geometry.Point([longitude, latitude])
+
+            # Load Sentinel-2 image collection
+            collection = ee.ImageCollection(sub_options[sub_selection]) \
+                .filterDate(ee.Date(start_date_str), ee.Date(end_date_str)) \
+                .filterBounds(roi)
+
+            # Check if the collection has images for the selected date range
+            image_count = collection.size().getInfo()
+            if image_count == 0:
+                st.warning(f"No images found for {location_name}.")
+            else:
+                st.write(f"Found {image_count} images for {location_name}.")
+                image = collection.first()
+
+                # Perform the calculation based on user selection
+                result = None
+                if index_choice.lower() == 'ndvi':
+                    result = calculate_ndvi(image, roi)
+                elif index_choice.lower() == 'ndwi':
+                    result = calculate_ndwi(image, roi)
+                elif index_choice.lower() == 'average no₂':
+                    if 'NO2' in image.bandNames().getInfo():
+                        result = calculate_avg_no2_sentinel5p(image, roi)
+                    else:
+                        st.warning(f"No NO2 band found for {location_name}. Please use Sentinel-5P for NO₂ data.")
+                elif index_choice.lower() == 'custom formula' and custom_formula:
+                    result = calculate_custom_formula(image, roi, custom_formula)
+
+                if result is not None:
+                    # Only store the numeric value (not the dictionary structure)
+                    calculated_value = result.getInfo()  # Get the numeric value
+
+                    # Store the result in session state
+                    st.session_state.results.append({
+                        'Location Name': location_name,
+                        'Latitude': latitude,
+                        'Longitude': longitude,
+                        'Calculated Value': calculated_value
+                    })
+
+    # Check if polygons_df is populated for polygons
+    if polygons_df is not None:
+        # Display a preview of the polygons data
+        st.write("Preview of the uploaded polygons data:")
+        st.dataframe(polygons_df.head())
+
+        # Create a LeafMap object to display the polygons
+        m = leafmap.Map(center=[polygons_df.geometry.centroid.y.mean(), polygons_df.geometry.centroid.x.mean()], zoom=10)
+
+        # Add polygons to the map
+        for _, row in polygons_df.iterrows():
+            polygon = row['geometry']
+            if polygon.is_valid:  # Check if the geometry is valid
+                # Create a GeoDataFrame with the single row
+                gdf = gpd.GeoDataFrame([row], geometry=[polygon], crs=polygons_df.crs)
+                
+                # Add the valid GeoDataFrame to the map
+                m.add_gdf(gdf=gdf, layer_name=row.get('name', 'Unnamed Polygon'))
+
+        # Display map
+        st.write("Map of Uploaded Polygons:")
+        m.to_streamlit()
+
+        # Store the map in session_state
+        st.session_state.map_data = m
+
+        # Process each polygon for index calculation
+        for idx, row in polygons_df.iterrows():
+            polygon = row['geometry']
+            location_name = row.get('name', f"Polygon_{idx}")
+
+            # Define the region of interest (ROI)
+            try:
+                roi = convert_to_ee_geometry(polygon)
+            except ValueError as e:
+                st.error(str(e))
+                continue  # Skip this polygon if geometry is invalid
+
+            # Load Sentinel-2 image collection
+            collection = ee.ImageCollection(sub_options[sub_selection]) \
+                .filterDate(ee.Date(start_date_str), ee.Date(end_date_str)) \
+                .filterBounds(roi)
+
+            # Check if the collection has images for the selected date range
+            image_count = collection.size().getInfo()
+            if image_count == 0:
+                st.warning(f"No images found for {location_name}.")
+            else:
+                st.write(f"Found {image_count} images for {location_name}.")
+                image = collection.first()
+
+                # Perform the calculation based on user selection
+                result = None
+                if index_choice.lower() == 'ndvi':
+                    result = calculate_ndvi(image, roi)
+                elif index_choice.lower() == 'ndwi':
+                    result = calculate_ndwi(image, roi)
+                elif index_choice.lower() == 'average no₂':
+                    if 'NO2' in image.bandNames().getInfo():
+                        result = calculate_avg_no2_sentinel5p(image, roi)
+                    else:
+                        st.warning(f"No NO2 band found for {location_name}. Please use Sentinel-5P for NO₂ data.")
+                elif index_choice.lower() == 'custom formula' and custom_formula:
+                    result = calculate_custom_formula(image, roi, custom_formula)
+
+                if result is not None:
+                    # Only store the numeric value (not the dictionary structure)
+                    calculated_value = result.getInfo()  # Get the numeric value
+
+                    # Store the result in session state
+                    st.session_state.results.append({
+                        'Location Name': location_name,
+                        'Calculated Value': calculated_value
+                    })
+
+# After processing, show the results
+if st.session_state.results:
+    # Convert the results to a DataFrame for better visualization
+    result_df = pd.DataFrame(st.session_state.results)
+
+    # If the shape type is 'Point', include 'Latitude' and 'Longitude'
+    if shape_type.lower() == 'point':
+        # Show the results in a table format with Latitude and Longitude
+        st.write("Processed Results Table (Points):")
+        st.dataframe(result_df[['Location Name', 'Latitude', 'Longitude', 'Calculated Value']])
+    else:
+        # For polygons, we only show the Location Name and Calculated Value
+        st.write("Processed Results Table (Polygons):")
+        st.dataframe(result_df[['Location Name', 'Calculated Value']])
+
+    # Generate the dynamic filename
+    filename = f"{main_selection}_{sub_selection}_{start_date.strftime('%Y/%m/%d')}_{end_date.strftime('%Y/%m/%d')}_{shape_type}.csv"
+
+    # Convert results to DataFrame for download
+    st.download_button(
+        label="Download results as CSV",
+        data=result_df.to_csv(index=False).encode('utf-8'),
+        file_name=filename,
+        mime='text/csv'
+    )
+

requirements.txt

@@ -0,0 +1,6 @@
+streamlit
+ee
+geemap
+panda
+geopandas
+leafmap

sentinel_datasets.json

@@ -0,0 +1,38 @@
+{
+    "Sentinel-1 SAR GRD: C-band Synthetic Aperture Radar": {
+        "sub_options": {
+            "COPERNICUS/S1_GRD": "COPERNICUS/S1_GRD"
+        }
+    },
+    "Sentinel-2 MSI: Multispectral Instrument": {
+        "sub_options": {
+            "Surface Reflectance": "COPERNICUS/S2_SR_HARMONIZED",
+            "Top-of-Atmosphere Reflectance": "COPERNICUS/S2_HARMONIZED"
+        }
+    },
+    "Sentinel-3 OLCI EFR: Ocean and Land Color Instrument": {
+        "sub_options": {
+            "OLCI Radiance": "COPERNICUS/S3/OLCI"
+        }
+    },
+    "Sentinel-5P TROPOMI: TROPOspheric Monitoring Instrument": {
+        "sub_options": {
+            "Absorbing Aerosol Index": "COPERNICUS/S5P/OFFL/L3_AER_AI",
+            "Cloud Properties": "COPERNICUS/S5P/OFFL/L3_CLOUD",
+            "Carbon Monoxide (CO)": "COPERNICUS/S5P/OFFL/L3_CO",
+            "Formaldehyde (HCHO)": "COPERNICUS/S5P/OFFL/L3_HCHO",
+            "Nitrogen Dioxide (NO2)": "COPERNICUS/S5P/OFFL/L3_NO2",
+            "Ozone (O3)": "COPERNICUS/S5P/OFFL/L3_O3",
+            "Sulfur Dioxide (SO2)": "COPERNICUS/S5P/OFFL/L3_SO2",
+            "Methane (CH4)": "COPERNICUS/S5P/OFFL/L3_CH4"
+        }
+    },
+    "Derived Datasets": {
+        "sub_options": {
+            "Dynamic World": "GOOGLE/DYNAMICWORLD/V1",
+            "WorldCover": "ESA/WorldCover/v100",
+            "Cloud Score Plus": "GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED",
+            "Sentinel-2 Cloud Probability": "COPERNICUS/S2_CLOUD_PROBABILITY"
+        }
+    }
+}