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- Dong, Jinwei; Xiao, Xiangming; Kou, Weili; Qin, Yuanwei; Zhang, Geli; Li, Li; Jin, Cui; Zhou, Yuting; Wang, Jie; Biradar, Chandrashekhar; Liu, Jiyuan; Moore, Berrien
- Remote sensing of environment 2015 v.160 pp. 99-113
- algorithms, etc ; Landsat; air temperature; biodiversity; cropland; ecosystems; global warming; humans; land use change; latitude; phenology; planting; population growth; remote sensing; rice; spectral analysis; spring; summer; surface water; temperate zones; time series analysis; vegetation types; wetlands; China; Show all 24 Subjects
- ... Agricultural land use change substantially affects climate, water, ecosystems, biodiversity, and human welfare. In recent decades, due to increasing population and food demand and the backdrop of global warming, croplands have been expanding into higher latitude regions. One such hotspot is paddy rice expansion in northeast China. However, there are no maps available for documenting the spatial an ...
- Bonansea, Matias; Rodriguez, María Claudia; Pinotti, Lucio; Ferrero, Susana
- Remote sensing of environment 2015 v.158 pp. 28-41
- algorithms, etc ; Landsat; chlorophyll; cooling systems; environmental factors; models; monitoring; rain; regression analysis; remote sensing; surface water temperature; time series analysis; turbidity; water management; water quality; Argentina; Show all 16 Subjects
- ... The application of remote sensing technology to water quality monitoring has special significance for lake management at regional scales. Many studies have proposed algorithms between Landsat data and in-situ water quality parameters using classical regression models. The novelty of this paper is that we developed algorithms to determine log-transformed chlorophyll-a concentration (Chl-a) and Secc ...