203 related articles for article (PubMed ID: 28953943)
1. Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing.
Midekisa A; Holl F; Savory DJ; Andrade-Pacheco R; Gething PW; Bennett A; Sturrock HJW
PLoS One; 2017; 12(9):e0184926. PubMed ID: 28953943
[TBL] [Abstract][Full Text] [Related]
2. An automatic water detection approach using Landsat 8 OLI and Google Earth Engine cloud computing to map lakes and reservoirs in New Zealand.
Nguyen UNT; Pham LTH; Dang TD
Environ Monit Assess; 2019 Mar; 191(4):235. PubMed ID: 30900016
[TBL] [Abstract][Full Text] [Related]
3. A global cloud free pixel- based image composite from Sentinel-2 data.
Corbane C; Politis P; Kempeneers P; Simonetti D; Soille P; Burger A; Pesaresi M; Sabo F; Syrris V; Kemper T
Data Brief; 2020 Aug; 31():105737. PubMed ID: 32490091
[TBL] [Abstract][Full Text] [Related]
4. Cloud-computing and machine learning in support of country-level land cover and ecosystem extent mapping in Liberia and Gabon.
de Sousa C; Fatoyinbo L; Neigh C; Boucka F; Angoue V; Larsen T
PLoS One; 2020; 15(1):e0227438. PubMed ID: 31923284
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Observing Thermal Conditions of Historic Buildings through Earth Observation Data and Big Data Engine.
Agapiou A; Lysandrou V
Sensors (Basel); 2021 Jul; 21(13):. PubMed ID: 34283112
[TBL] [Abstract][Full Text] [Related]
8. Mapping and spatiotemporal dynamics of land-use and land-cover change based on the Google Earth Engine cloud platform from Landsat imagery: A case study of Zhoushan Island, China.
Chen C; Yang X; Jiang S; Liu Z
Heliyon; 2023 Sep; 9(9):e19654. PubMed ID: 37809681
[TBL] [Abstract][Full Text] [Related]
9. Land cover change of watersheds in Southern Guam from 1973 to 2001.
Wen Y; Khosrowpanah S; Heitz L
Environ Monit Assess; 2011 Aug; 179(1-4):521-9. PubMed ID: 21072586
[TBL] [Abstract][Full Text] [Related]
10. Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine.
Dong J; Xiao X; Menarguez MA; Zhang G; Qin Y; Thau D; Biradar C; Moore B
Remote Sens Environ; 2016 Nov; 185():142-154. PubMed ID: 28025586
[TBL] [Abstract][Full Text] [Related]
11. Land cover mapping using Sentinel-1 SAR and Landsat 8 imageries of Lagos State for 2017.
Makinde EO; Oyelade EO
Environ Sci Pollut Res Int; 2020 Jan; 27(1):66-74. PubMed ID: 31201700
[TBL] [Abstract][Full Text] [Related]
12. [Extraction of land-cover and wetland area in Bohai Rim region based on Google Earth Engine.].
Yu LL; Sun LS; Zhang DH; Liu M; Xie ZW; Ping XY
Ying Yong Sheng Tai Xue Bao; 2020 Dec; 31(12):4091-4098. PubMed ID: 33393246
[TBL] [Abstract][Full Text] [Related]
13. The first generation of a regional-scale 1-m forest canopy cover dataset using machine learning and google earth engine cloud computing platform: A case study of Arkansas, USA.
Zurqani HA
Data Brief; 2024 Feb; 52():109986. PubMed ID: 38293581
[TBL] [Abstract][Full Text] [Related]
14. Suspended Particulate Matter Analysis of Pre and During Covid Lockdown Using Google Earth Engine Cloud Computing: A Case Study of Ukai Reservoir.
Paul A; K S V; Sood A; Bhaumik S; Singh KA; Sethupathi S; Chanda A
Bull Environ Contam Toxicol; 2022 Dec; 110(1):7. PubMed ID: 36512073
[TBL] [Abstract][Full Text] [Related]
15. Iranian wetland inventory map at a spatial resolution of 10 m using Sentinel-1 and Sentinel-2 data on the Google Earth Engine cloud computing platform.
Hemati M; Hasanlou M; Mahdianpari M; Mohammadimanesh F
Environ Monit Assess; 2023 Apr; 195(5):558. PubMed ID: 37046022
[TBL] [Abstract][Full Text] [Related]
16. Land Cover Change in the Central Region of the Lower Yangtze River Based on Landsat Imagery and the Google Earth Engine: A Case Study in Nanjing, China.
Zhang DD; Zhang L
Sensors (Basel); 2020 Apr; 20(7):. PubMed ID: 32276373
[TBL] [Abstract][Full Text] [Related]
17. A global land cover training dataset from 1984 to 2020.
Stanimirova R; Tarrio K; Turlej K; McAvoy K; Stonebrook S; Hu KT; Arévalo P; Bullock EL; Zhang Y; Woodcock CE; Olofsson P; Zhu Z; Barber CP; Souza CM; Chen S; Wang JA; Mensah F; Calderón-Loor M; Hadjikakou M; Bryan BA; Graesser J; Beyene DL; Mutasha B; Siame S; Siampale A; Friedl MA
Sci Data; 2023 Dec; 10(1):879. PubMed ID: 38062043
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Cloud-based applications for accessing satellite Earth observations to support malaria early warning.
Wimberly MC; Nekorchuk DM; Kankanala RR
Sci Data; 2022 May; 9(1):208. PubMed ID: 35577816
[TBL] [Abstract][Full Text] [Related]
20. Effect of Land Cover Fractions on Changes in Surface Urban Heat Islands Using Landsat Time-Series Images.
Chen T; Sun A; Niu R
Int J Environ Res Public Health; 2019 Mar; 16(6):. PubMed ID: 30889877
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
