Global 10 m land use land cover datasets: A comparison of dynamic world, world cover and esri land cover
The European Space Agency's Sentinel satellites have laid the foundation for global land
use land cover (LULC) mapping with unprecedented detail at 10 m resolution. We present a …
use land cover (LULC) mapping with unprecedented detail at 10 m resolution. We present a …
More than one quarter of Africa's tree cover is found outside areas previously classified as forest
The consistent monitoring of trees both inside and outside of forests is key to sustainable
land management. Current monitoring systems either ignore trees outside forests or are too …
land management. Current monitoring systems either ignore trees outside forests or are too …
Designing a European-wide crop type mapping approach based on machine learning algorithms using LUCAS field survey and Sentinel-2 data
One of the most challenging aspects of obtaining detailed and accurate land-use and land-
cover (LULC) maps is the availability of representative field data for training and validation …
cover (LULC) maps is the availability of representative field data for training and validation …
Enhancing land cover mapping and monitoring: An interactive and explainable machine learning approach using Google Earth Engine
Artificial intelligence (AI) and machine learning (ML) have been applied to solve various
remote sensing problems. To fully leverage the power of AI and ML to tackle impactful …
remote sensing problems. To fully leverage the power of AI and ML to tackle impactful …
Soil reflectance composites—improved thresholding and performance evaluation
Reflectance composites that capture bare soil pixels from multispectral image data are
increasingly being analysed to model soil constituents such as soil organic carbon. These …
increasingly being analysed to model soil constituents such as soil organic carbon. These …
Land cover mapping using sentinel-1 time-series data and machine-learning classifiers in agricultural sub-saharan landscape
S Dahhani, M Raji, M Hakdaoui, R Lhissou - Remote Sensing, 2022 - mdpi.com
This paper shows the efficiency of machine learning for improving land use/cover
classification from synthetic aperture radar (SAR) satellite imagery as a tool that can be used …
classification from synthetic aperture radar (SAR) satellite imagery as a tool that can be used …
Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision
Highlights What are the main findings? We develop a method for accurate, scalable field
delineation in smallholder systems. Fields are delineated with state-of-the-art deep learning …
delineation in smallholder systems. Fields are delineated with state-of-the-art deep learning …
Rice mapping in a subtropical hilly region based on sentinel-1 time series feature analysis and the dual branch BiLSTM model
Timely and accurate information on rice cultivation makes important contributions to the
profound reform of the global food and agricultural system, and promotes the development …
profound reform of the global food and agricultural system, and promotes the development …
Consistency and accuracy of four high-resolution LULC datasets—Indochina Peninsula case study
Open and high-temporal-and spatial-resolution global land use/land cover (LULC) mapping
data form the foundation of global change research and cross-scale land management …
data form the foundation of global change research and cross-scale land management …
Seasonal dynamics of tick species in the ecotone of parks and recreational areas in Middlesex County (New Jersey, USA)
Simple Summary People using forested parks for recreation often spend most time in grassy
paths or meadows. These transitional zones are referred to as “ecotones”. In this study, we …
paths or meadows. These transitional zones are referred to as “ecotones”. In this study, we …