133 related articles for article (PubMed ID: 38550239)
21. Land use/land cover changes in the central part of the Chitwan Annapurna Landscape, Nepal.
Adhikari JN; Bhattarai BP; Rokaya MB; Thapa TB
PeerJ; 2022; 10():e13435. PubMed ID: 35615290
[TBL] [Abstract][Full Text] [Related]
22. Exploring geospatial techniques for spatiotemporal change detection in land cover dynamics along Soan River, Pakistan.
Bashir H; Ahmad SS
Environ Monit Assess; 2017 May; 189(5):222. PubMed ID: 28429250
[TBL] [Abstract][Full Text] [Related]
23. GIS based mapping of land cover changes utilizing multi-temporal remotely sensed image data in Lake Hawassa Watershed, Ethiopia.
Nigatu Wondrade ; Dick ØB; Tveite H
Environ Monit Assess; 2014 Mar; 186(3):1765-80. PubMed ID: 24310365
[TBL] [Abstract][Full Text] [Related]
24. Decadal land cover change dynamics in Bhutan.
Gilani H; Shrestha HL; Murthy MS; Phuntso P; Pradhan S; Bajracharya B; Shrestha B
J Environ Manage; 2015 Jan; 148():91-100. PubMed ID: 24680540
[TBL] [Abstract][Full Text] [Related]
25. Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India.
Abijith D; Saravanan S
Environ Sci Pollut Res Int; 2022 Dec; 29(57):86055-86067. PubMed ID: 34510357
[TBL] [Abstract][Full Text] [Related]
26. A national-scale assessment of land use change in peatlands between 1989 and 2020 using Landsat data and Google Earth Engine-a case study of Ireland.
Habib W; Connolly J
Reg Environ Change; 2023; 23(4):124. PubMed ID: 37745890
[TBL] [Abstract][Full Text] [Related]
27. Modelling of land use land cover changes using machine learning and GIS techniques: a case study in El-Fayoum Governorate, Egypt.
Atef I; Ahmed W; Abdel-Maguid RH
Environ Monit Assess; 2023 May; 195(6):637. PubMed ID: 37133528
[TBL] [Abstract][Full Text] [Related]
28. Monitoring tropical forest succession at landscape scales despite uncertainty in Landsat time series.
Caughlin TT; Barber C; Asner GP; Glenn NF; Bohlman SA; Wilson CH
Ecol Appl; 2021 Jan; 31(1):e02208. PubMed ID: 32627902
[TBL] [Abstract][Full Text] [Related]
29. Understanding the linkages between spatio-temporal urban land system changes and land surface temperature in Srinagar City, India, using image archives from Google Earth Engine.
Murtaza KO; Shafai S; Shahid P; Romshoo SA
Environ Sci Pollut Res Int; 2023 Oct; 30(49):107281-107295. PubMed ID: 37495805
[TBL] [Abstract][Full Text] [Related]
30. Land cover change during a period of extensive landscape restoration in Ningxia Hui Autonomous Region, China.
Cadavid Restrepo AM; Yang YR; Hamm NAS; Gray DJ; Barnes TS; Williams GM; Soares Magalhães RJ; McManus DP; Guo D; Clements ACA
Sci Total Environ; 2017 Nov; 598():669-679. PubMed ID: 28454039
[TBL] [Abstract][Full Text] [Related]
31. Biases and limitations of Global Forest Change and author-generated land cover maps in detecting deforestation in the Amazon.
Kinnebrew E; Ochoa-Brito JI; French M; Mills-Novoa M; Shoffner E; Siegel K
PLoS One; 2022; 17(7):e0268970. PubMed ID: 35793333
[TBL] [Abstract][Full Text] [Related]
32. Remote sensing strategies to monitoring land use maps with AVHRR and MODIS data over the South Asia regions.
Ali S; Qi HA; Henchiri M; Sha Z; Khan FU; Sajid M; Zhang J
Environ Sci Pollut Res Int; 2023 Mar; 30(11):31741-31754. PubMed ID: 36450966
[TBL] [Abstract][Full Text] [Related]
33. Land Use Change and Climate Variation in the Three Gorges Reservoir Catchment from 2000 to 2015 Based on the Google Earth Engine.
Hao B; Ma M; Li S; Li Q; Hao D; Huang J; Ge Z; Yang H; Han X
Sensors (Basel); 2019 May; 19(9):. PubMed ID: 31067808
[TBL] [Abstract][Full Text] [Related]
34. Towards an open and synergistic framework for mapping global land cover.
Zhao J; Yu L; Liu H; Huang H; Wang J; Gong P
PeerJ; 2021; 9():e11877. PubMed ID: 34430081
[TBL] [Abstract][Full Text] [Related]
35. Assessing long-term trends in vegetation cover change in the Xilin River Basin: Potential for monitoring grassland degradation and restoration.
Zhou Y; Batelaan O; Guan H; Liu T; Duan L; Wang Y; Li X
J Environ Manage; 2024 Jan; 349():119579. PubMed ID: 37976643
[TBL] [Abstract][Full Text] [Related]
36. Using POI and time series Landsat data to identify and rebuilt surface mining, vegetation disturbance and land reclamation process based on Google Earth Engine.
Xiao W; Deng X; He T; Guo J
J Environ Manage; 2023 Feb; 327():116920. PubMed ID: 36463846
[TBL] [Abstract][Full Text] [Related]
37. Geospatial modeling to assess the past and future land use-land cover changes in the Brahmaputra Valley, NE India, for sustainable land resource management.
Debnath J; Sahariah D; Lahon D; Nath N; Chand K; Meraj G; Farooq M; Kumar P; Kanga S; Singh SK
Environ Sci Pollut Res Int; 2023 Oct; 30(49):106997-107020. PubMed ID: 36418825
[TBL] [Abstract][Full Text] [Related]
38. 40-Year (1978-2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing.
Gong P; Li X; Zhang W
Sci Bull (Beijing); 2019 Jun; 64(11):756-763. PubMed ID: 36659545
[TBL] [Abstract][Full Text] [Related]
39. Simulation of Land-Use Spatiotemporal Changes under Ecological Quality Constraints: The Case of the Wuhan Urban Agglomeration Area, China, over 2020-2030.
Li J; Gong J; Guldmann JM; Yang J; Zhang Z
Int J Environ Res Public Health; 2022 May; 19(10):. PubMed ID: 35627629
[TBL] [Abstract][Full Text] [Related]
40. Conterminous United States land cover change patterns 2001-2016 from the 2016 National Land Cover Database.
Homer C; Dewitz J; Jin S; Xian G; Costello C; Danielson P; Gass L; Funk M; Wickham J; Stehman S; Auch R; Riitters K
ISPRS J Photogramm Remote Sens; 2020 Apr; 162():184-199. PubMed ID: 35746921
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
