Results 11 to 20 of about 43,365 (262)
Scale Effect of Land Cover Classification from Multi-Resolution Satellite Remote Sensing Data [PDF]
Land cover data are important basic data for earth system science and other fields. Multi-source remote sensing images have become the main data source for land cover classification. There are still many uncertainties in the scale effect of image spatial
Runxiang Li +3 more
doaj +2 more sources
Land-Cover Classification Using MaxEnt: Can We Trust in Model Quality Metrics for Estimating Classification Accuracy? [PDF]
MaxEnt is a popular maximum entropy-based algorithm originally developed for modelling species distribution, but increasingly used for land-cover classification.
Narkis S. Morales +1 more
doaj +2 more sources
An inclusive classification optimization model for land use and land cover classification. [PDF]
The inclusive classification optimization model (ICOM) is an advanced fusion model specifically designed for large-scale land use and land cover classification. It automatically derives training samples from the intersection areas of five available top-tier classification products, and validation samples from their union areas. The reconciliation index
Ma L, Li X, Hou J.
europepmc +4 more sources
A number of national, regional and global land cover classification systems have been developed to meet specific user requirements for land cover mapping exercises, independent of scale, nomenclature and quality.
Hui Yang +4 more
doaj +3 more sources
Joint Deep Learning for land cover and land use classification [PDF]
Land cover (LC) and land use (LU) have commonly been classified separately from remotely sensed imagery, without considering the intrinsically hierarchical and nested relationships between them. In this paper, for the first time, a highly novel joint deep learning framework is proposed and demonstrated for LC and LU classification.
Ce Zhang, Isabel Sargent, Huapeng Li
exaly +4 more sources
Land Cover and Land Use in Uruguay Using Land Cover Classification System Methodology
Mapping land cover in Uruguay is essential to meet the growing demand for accurate data to support sustainable development policies and manage natural resources, while also addressing the United Nations Sustainable Development Goals (SDGs) and other ...
Ana Alvarez Gebelin +3 more
doaj +2 more sources
Land cover type is a key parameter for simulating surface processes in many land surface models (LSMs). Currently, the widely used global remote sensing land cover products cannot meet the requirements of LSMs for classification systems, physical ...
Anqi Huang +5 more
doaj +1 more source
Targeted Land-Cover Classification [PDF]
This paper addresses a specific typology of land-cover classification problems, hereinafter referred to as “targeted land-cover classification,” where the objective is the identification of only one or few specific “targeted” land-cover classes of interest, disregarding all the other potential classes present in the area under analysis.
Marconcini, Mattia +2 more
openaire +1 more source
Can a Hierarchical Classification of Sentinel-2 Data Improve Land Cover Mapping?
Monitoring of land cover plays an important role in effective environmental management, assessment of natural resources, environmental protection, urban planning and sustainable development.
Adam Waśniewski +2 more
doaj +1 more source
SYNTHETIC APERTURE RADAR (SAR) BASED CLASSIFIERS FOR LAND APPLICATIONS IN GERMANY [PDF]
Land cover information is essential for urban planning and for land cover change monitoring. This paper presents an overview of the work conducted at the Federal Agency for Cartography and Geodesy (BKG) with respect to Synthetic Aperture Radar (SAR ...
G. Suresh +3 more
doaj +1 more source

