[HTML][HTML] Map** grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series
Spatially explicit knowledge on grassland extent and management is critical to understand
and monitor the impact of grassland use intensity on ecosystem services and biodiversity …
and monitor the impact of grassland use intensity on ecosystem services and biodiversity …
Green LAI map** and cloud gap-filling using Gaussian process regression in Google Earth Engine
For the last decade, Gaussian process regression (GPR) proved to be a competitive
machine learning regression algorithm for Earth observation applications, with attractive …
machine learning regression algorithm for Earth observation applications, with attractive …
Estimating forest stock volume in Hunan Province, China, by integrating in situ plot data, Sentinel-2 images, and linear and machine learning regression models
Y Hu, X Xu, F Wu, Z Sun, H ** review
Background and objective Forests play a crucial role throughout the world as highly
productive ecosystems, serving approximately a quarter of the human population by …
productive ecosystems, serving approximately a quarter of the human population by …
Improving spatial-temporal data fusion by choosing optimal input image pairs
Spatial and temporal data fusion approaches have been developed to fuse reflectance
imagery from Landsat and the Moderate Resolution Imaging Spectroradiometer (MODIS) …
imagery from Landsat and the Moderate Resolution Imaging Spectroradiometer (MODIS) …
Using annual landsat time series for the detection of dry forest degradation processes in south-central Angola
Dry tropical forests undergo massive conversion and degradation processes. This also
holds true for the extensive Miombo forests that cover large parts of Southern Africa. While …
holds true for the extensive Miombo forests that cover large parts of Southern Africa. While …
China's larch stock volume estimation using Sentinel-2 and LiDAR data
T Yu, Y Pang, X Liang, W Jia, Y Bai, Y Fan… - Geo-spatial …, 2023 - Taylor & Francis
ABSTRACT Forest Stock Volume (FSV) is one of the key indicators in forestry resource
investigation and management on local, regional, and national scales. Limited by the …
investigation and management on local, regional, and national scales. Limited by the …
Generation of High Temporal Resolution Fractional Forest Cover Data and Its Application in Accurate Time Detection of Forest Loss
Fractional Forest cover holds significance in characterizing the ecological condition of
forests and serves as a crucial input parameter for climate and hydrological models. This …
forests and serves as a crucial input parameter for climate and hydrological models. This …
Detection of forest disturbance with spaceborne repeat-pass SAR interferometry
Focusing on open forests and woodlands within the Injune Landscape Collaborative Project
research area in central southeast Queensland, Australia, and using dual-pol (HH and HV) …
research area in central southeast Queensland, Australia, and using dual-pol (HH and HV) …
Monitoring and assessment of forest cover disturbance in the Middle Volga region of Russia using Landsat images
ON Vorobev, EA Kurbanov, SA Lezhnin… - … Series: Earth and …, 2021 - iopscience.iop.org
The knowledge of the disturbance effect on the forest ecosystems is crucial for sustainable
development on the global level. It is important to quantify, map and monitor forest cover …
development on the global level. It is important to quantify, map and monitor forest cover …