Estimating above-ground biomass on mountain meadows and pastures through remote sensing-Reference-Cited by-同舟云学术

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Estimating above-ground biomass on mountain meadows and pastures through remote sensing

Published:2015-06 Issue: Volume:38 Page:184-192
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Barrachina M.,Cristóbal J.,Tulla A.F.

Funder

Ministry of Education and Science

Patrones de gestión y de ocupación del territorio

Catalan Government

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference79 articles.

1. Application of NOAA AVHRR for monitoring vegetation conditions and biomass in Jordan;Al-Bakri;J. Arid Environ.,2003

2. Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery;Anderson;Remote Sens. Environ.,2004

3. Biophysical and biochemical sources of variability in canopy reflectance;Asner;Remote Sens. Environ.,1998

4. Improving the estimation of above ground biomass using dual polarimetric PALSAR and ETM plus data in the Hyrcanian mountain forest (Iran);Attarchi;Remote Sens.,2014

5. Ecomont Ecological Effects of Land Use Changes on European Terrestrial Mountain Ecosystems;Bahn,1996

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1. A machine learning scheme for estimating fine-resolution grassland aboveground biomass over China with Sentinel-1/2 satellite images;Remote Sensing of Environment;2024-09

2. Retrieval of grassland aboveground biomass across three ecoregions in China during the past two decades using satellite remote sensing technology and machine learning algorithms;International Journal of Applied Earth Observation and Geoinformation;2024-06

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4. Estimating the aboveground biomass of the Hulunbuir Grassland and exploring its spatial and temporal variations over the past ten years;Ecological Indicators;2024-04

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