Remote Sensing of Fractional Green Vegetation Cover Using Spatially-Interpolated Endmembers

Remote Sensing - Switzerland
doi 10.3390/rs4092619
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Quantitative Assessment of Target Audience for Remote Sensing of Vegetation Cover

Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa
Computer NetworksComputer Science ApplicationsComputers in Earth SciencesCommunications
2017English

Remote Sensing of Submerged Aquatic Vegetation

2012English

Extracting the Green Fractional Vegetation Cover From Digital Images Using a Shadow-Resistant Algorithm (SHAR-LABFVC)

Remote Sensing
EarthPlanetary Sciences
2015English

Has Portland Been Demolishing Its Green Spaces? A Remote Sensing Analysis of Portland's Urban Vegetation

The Hatfield Graduate Journal of Public Affairs
2019English

Statistical Assessment of Vegetation Dynamics Within Protected Areas Using Remote Sensing Data

Journal of Agricultural Engineering
BioengineeringIndustrialMechanical EngineeringManufacturing Engineering
2013English

Research on the Optimal Vegetation Cover for Remote Sensing Assessment of Soil Erosion Risk Using the Temporal Matching Relationship Between Rainfall and Vegetation

Journal of Geoscience and Environment Protection
2019English

Assessing the Impacts of Vegetation Cover Change in Mahazat Alsayd Natural Reserve Using Remote Sensing and Ground-Truth Data

International Journal of Environmental Science and Development
Environmental Science
2020English

Comparisons of Cloud Cover and Cloud Fractions Using Remote-Sensing Retrievals

1999English

Remote Sensing of Tidal Networks and Their Relation to Vegetation

The Ecogeomorphology of Tidal Marshes
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy