A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter
Abstract Normalized Difference Vegetation Index (NDVI) data derived from Landsat satellites
are important resources for vegetation monitoring. However, Landsat NDVI time-series data …
are important resources for vegetation monitoring. However, Landsat NDVI time-series data …
Satellite image time series analysis for big earth observation data
The development of analytical software for big Earth observation data faces several
challenges. Designers need to balance between conflicting factors. Solutions that are …
challenges. Designers need to balance between conflicting factors. Solutions that are …
[HTML][HTML] Predicting spatial variations in annual average outdoor ultrafine particle concentrations in Montreal and Toronto, Canada: Integrating land use regression and …
Background Concentrations of outdoor ultrafine particles (UFP;< 0.1 µm) and black carbon
(BC) can vary greatly within cities and long-term exposures to these pollutants have been …
(BC) can vary greatly within cities and long-term exposures to these pollutants have been …
Data-centric machine learning for geospatial remote sensing data
Recent developments and research in modern machine learning have led to substantial
improvements in the geospatial field. Although numerous deep learning models have been …
improvements in the geospatial field. Although numerous deep learning models have been …
Training data in satellite image classification for land cover mapping: a review
D Moraes, ML Campagnolo… - European Journal of …, 2024 - Taylor & Francis
The current land cover (LC) mapping paradigm relies on automatic satellite imagery
classification, predominantly through supervised methods, which depend on training data to …
classification, predominantly through supervised methods, which depend on training data to …
CBERS data cubes for land use and land cover mapping in the Brazilian Cerrado agricultural belt
MED Chaves, AR Soares, ID Sanches… - International Journal of …, 2021 - Taylor & Francis
The agricultural frontier expansion in the Cerrado biome made Brazil a leader in commodity
exports and is changing its landscape. Hence, efforts to accurate land use and land cover …
exports and is changing its landscape. Hence, efforts to accurate land use and land cover …
A balanced random learning strategy for CNN based Landsat image segmentation under imbalanced and noisy labels
X Zhao, Y Cheng, L Liang, H Wang, X Gao, J Wu - Pattern Recognition, 2023 - Elsevier
Landsat image segmentation is important for obtaining large-scale land cover maps. The
accuracy of CNN-based Landsat image segmentation highly depends on the quantity and …
accuracy of CNN-based Landsat image segmentation highly depends on the quantity and …
Spatiotemporal characterization of land cover and degradation in the agreste region of Pernambuco, Brazil, using cloud geoprocessing on Google Earth Engine
MVN de Melo, MEG de Oliveira, GLP de Almeida… - Remote Sensing …, 2022 - Elsevier
The characterization of land use and land cover (LULC), as well as the identification of its
degradation factors, are necessary for the preservation of the agroecosystem and help in …
degradation factors, are necessary for the preservation of the agroecosystem and help in …
Mapping ecological focus areas within the EU CAP controls framework by Copernicus Sentinel-2 data
Greening is a Common Agricultural Policy (CAP) subsidy that ensures that all EU farmers
receiving income support produce climate and environmental benefits as part of their …
receiving income support produce climate and environmental benefits as part of their …
An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing
Urban land usage recognition (ULUR) in smart urban sensing recognizes the physical
attributes and socioeconomic functions of urban land resources using pervasive satellite …
attributes and socioeconomic functions of urban land resources using pervasive satellite …