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Remote sensing for monitoring and mapping Land Productivity in Italy: A rapid assessment methodology
Remote sensing MODIS-NDVI Land Productivity Land Degradation Neutrality
2024/1/19
We present a remote sensing-based methodology for the Land Productivity (LP) rapid assessment and monitoring of status and trends at national and sub-national scales. This methodology aims at supporti...
Democratic Republic of the Congo Tropical Forest Canopy Height and Aboveground Biomass Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection
Airborne LiDAR Landsat-8 tropical forest canopy height aboveground biomass Congo Basin Forest
2023/12/19
Inventories of tropical forest aboveground biomass (AGB) are often imprecise and sparse. Increasingly,?airborne?Light Detection And Ranging (LiDAR) and satellite optical wavelength sensor data are use...
Classifying wetland-related land cover types and habitats using fine-scale lidar metrics derived from country-wide Airborne Laser Scanning
Habitat classification Phragmites australis reedbed structural heterogeneity vegetation complexity wetland conservation
2023/12/19
Mapping 3D vegetation structure in wetlands is important for conservation and monitoring. Openly accessible country-wide Airborne Laser Scanning (ALS) data-using light detection and ranging (lidar) te...
Airborne LiDAR Intensity Correction Based on a New Method for Incidence Angle Correction for Improving Land-Cover Classification
airborne LiDAR intensity correction LiDAR intensity
2023/12/6
Light detection and range (LiDAR) intensity is an important feature describing the characteristics of a target. The direct use of original intensity values has limitations for users, because the same ...
Climate-Based Regionalization and Inclusion of Spectral Indices for Enhancing Transboundary Land-Use/Cover Classification Using Deep Learning and Machine Learning
machine learning ratio-based indices orthogonal indices Koppen–Geiger climate regionalization landscape change remote sensing landcover
2023/12/4
Accurate land use and cover data are essential for effective land-use planning, hydrological modeling, and policy development. Since the Okavango Delta is a transboundary Ramsar site, managing natural...
Time Series Analysis of Landsat Data for Investigating the Relationship between Land Surface Temperature and Forest Changes in Paphos Forest, Cyprus
time series Landsat Mediterranean forest LST NDVI Kalman filter decomposition cross-correlation breakpoints Big Earth Observation Data
2023/12/1
This study aims to investigate how alternations of the land surface temperature (LST) affects the normalized difference vegetation index (NDVI) in Paphos forest, Cyprus, using Landsat-5 and Landsat-8 ...
APPLYING RANDOM FOREST CLASSIFICATION TO MAP LAND USE/LAND COVER USING LANDSAT 8 OLI
Classification Landsat 8 OLI Land use Land cover Random Forest Decision Tree
2018/4/18
This study used the Random Forest classifier (RF) running in R environment to map Land use/Land cover (LULC) of Dak Lak province in Vietnam based on the Landsat 8 OLI. The values of two RF parameters ...