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[HTML][HTML] A review of supervised object-based land-cover image classification
L Ma, M Li, X Ma, L Cheng, P Du, Y Liu - ISPRS Journal of Photogrammetry …, 2017 - Elsevier
Object-based image classification for land-cover map** purposes using remote-sensing
imagery has attracted significant attention in recent years. Numerous studies conducted over …
imagery has attracted significant attention in recent years. Numerous studies conducted over …
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies
L Yang, S **, P Danielson, C Homer, L Gass… - ISPRS journal of …, 2018 - Elsevier
Abstract The US Geological Survey (USGS), in partnership with several federal agencies,
has developed and released four National Land Cover Database (NLCD) products over the …
has developed and released four National Land Cover Database (NLCD) products over the …
[HTML][HTML] Global land cover map** at 30 m resolution: A POK-based operational approach
Abstract Global Land Cover (GLC) information is fundamental for environmental change
studies, land resource management, sustainable development, and many other societal …
studies, land resource management, sustainable development, and many other societal …
Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 data on Google Earth …
J ** up-to-date paddy rice extent at 10 m resolution in china through the integration of optical and synthetic aperture radar images
Rice is a staple food in East Asia and Southeast Asia—an area that accounts for more than
half of the world's population, and 11% of its cultivated land. Studies on rice monitoring can …
half of the world's population, and 11% of its cultivated land. Studies on rice monitoring can …
[HTML][HTML] Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest
The Amazon is the largest expanse of tropical rainforest globally and deforestation resulting
from land use changes poses a major concern for sustainable resource management …
from land use changes poses a major concern for sustainable resource management …
Deep learning meets object-based image analysis: Tasks, challenges, strategies, and perspectives
Deep learning has gained significant attention in remote sensing, especially in pixel-or
patch-level applications. Despite initial attempts to integrate deep learning into object-based …
patch-level applications. Despite initial attempts to integrate deep learning into object-based …
[HTML][HTML] In-season crop map** with GF-1/WFV data by combining object-based image analysis and random forest
Producing accurate crop maps during the current growing season is essential for effective
agricultural monitoring. Substantial efforts have been made to study regional crop …
agricultural monitoring. Substantial efforts have been made to study regional crop …