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Evaluación de modelos digitales de elevación (DEMS) mediante geomorfología tectónica: ejemplo de la Cuenca Moyobamba
(Pontificia Universidad Católica del PerúPE, 2022)
Evaluación de modelos digitales de elevación (DEMS) mediante geomorfología tectónica: ejemplo de la Cuenca Moyobamba
(Pontificia Universidad Católica del PerúPE, 2022)
Evaluación de modelos digitales de elevación (DEMS) mediante geomorfología tectónica: ejemplo de la Cuenca Moyobamba
(Pontificia Universidad Católica del PerúPE, 2022)
A geostatistical approach for multi-source data fusion to predict water table depth
(2019-12-15)
Accurate water table depth mapping is important for water management and activity planning. The joint use of exhausted geospatial raster data with sparse field measurements could improve predictions. The aim of this work ...
Mapping of flooded areas in Acapulco de Juárez, Guerrero-México, using TanDEM-X radar images
(Universidad Nacional Autónoma de México, Instituto de Geociencias, 2020)
Conversão do modelo digital de superfície (MDS) a modelo digital de elevação hidrologicamente condicionado (MDEHC) para a bacia hidrográfica do Córrego do Marinheiro, Sete Lagoas –MG
(Universidade Federal de Minas GeraisBrasilIGC - DEPARTAMENTO DE CARTOGRAFIAIGC - DEPARTAMENTO DE GEOGRAFIAUFMG, 2018)
The increase of anthropic actions on water resources is increasingly demanding the correct and accurate cartographic representation of the relief of a river basin. The main objective of the ...
Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types
(Elsevier, 2021)
Vegetation biomass is a globally important climate-relevant terrestrial carbon pool and also drives local hydrological
systems via evapotranspiration. Vegetation biomass of individual vegetation types has been ...