Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. Earth observation (EO) …
connected to many phases of the human and physical environment. Earth observation (EO) …
Accounting for training data error in machine learning applied to earth observations
Remote sensing, or Earth Observation (EO), is increasingly used to understand Earth system
dynamics and create continuous and categorical maps of biophysical properties and land …
dynamics and create continuous and categorical maps of biophysical properties and land …
Combining Sentinel-1 and Sentinel-2 data for improved land use and land cover map** of monsoon regions
Land use and land cover maps can support our understanding of coupled human-
environment systems and provide important information for environmental modeling and …
environment systems and provide important information for environmental modeling and …
Challenges in using land use and land cover data for global change studies
PH Verburg, K Neumann, L Nol - Global change biology, 2011 - Wiley Online Library
Land use and land cover data play a central role in climate change assessments. These
data originate from different sources and inventory techniques. Each source of land …
data originate from different sources and inventory techniques. Each source of land …
A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data
This study proposes a new four-component algorithm for land use and land cover (LULC)
classification using RADARSAT-2 polarimetric SAR (PolSAR) data. These four components …
classification using RADARSAT-2 polarimetric SAR (PolSAR) data. These four components …
Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data
Abstract Information on crop phenological development stages such as emergence,
flowering, fruiting, maturing and senescence is essential for crop production surveillance …
flowering, fruiting, maturing and senescence is essential for crop production surveillance …
[KSIĄŻKA][B] Sensoriamento remoto da vegetação
Começando nos anos 1980 com mapeamento da cobertura vegetal brasileira: agrícola,
florestal e monitorando o desflorestamento na Amazônia e remanescentes da Mata …
florestal e monitorando o desflorestamento na Amazônia e remanescentes da Mata …
Sentinel-1 SAR amplitude imagery for rapid landslide detection
AC Mondini, M Santangelo, M Rocchetti, E Rossetto… - Remote sensing, 2019 - mdpi.com
Despite landslides impact the society worldwide every day, landslide information is
inhomogeneous and lacking. When landslides occur in remote areas or where the …
inhomogeneous and lacking. When landslides occur in remote areas or where the …
Spatial consistency assessments for global land-cover datasets: A comparison among GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO
Numerous global-scale land-cover datasets have greatly contributed to the study of global
environmental change and the sustainable management of natural resources. However …
environmental change and the sustainable management of natural resources. However …
A novel technique based on deep learning and a synthetic target database for classification of urban areas in PolSAR data
The classification of urban areas in polarimetric synthetic aperture radar (PolSAR) data is a
challenging task. Moreover, urban structures oriented away from the radar line of sight pose …
challenging task. Moreover, urban structures oriented away from the radar line of sight pose …