Journal Article10.1016/S0034-4257(96)00121-6
A study of the relationship between radar backscatter and regenerating tropical forest biomass for spaceborne SAR instruments.
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TL;DR: The relationship between mean backscattering coefficient, as measured by spaeebome SAR instruments, and the areal density of above-ground biomass in regenerating tropical forest was investigated for a study area in the central Amazon basin this article.
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About: This article is published in Remote Sensing of Environment. The article was published on 01 Apr 1997. The article focuses on the topics: Biomass (ecology) & Synthetic aperture radar.
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Citations
Estimating Above-Ground Biomass of the Regional Forest Landscape of Northern Western Ghats Using Machine Learning Algorithms and Multi-sensor Remote Sensing Data
Faseela V. Sainuddin,Guljar Malek,Ankur Rajwadi,Padamnabhi S. Nagar,Smitha V. Asok,C. S. Reddy +5 more
4
Relationship between SAR and biomass derived from LiDAR in Mountain areas
Qisheng He,Chunxiang Cao,Erxue Chen,Feilong Ling,Hao Zhang +4 more
- 01 Oct 2009
TL;DR: In this article, the response of ALOS (the Advanced Land Observing Satellite) PALSAR (the Phased Array type L-band Synthetic Aperture Radar) data to the forest biomass was analyzed in the Qilian Mountain area within Gansu province, western China Due to not enough field biomass, the Light Detection and Ranging (LiDAR) data was used to extract biomass in 20m × 20m cell.
4
Estimation of Biomass Carbon Stocks over Peat Swamp Forests using Multi-Temporal and Multi-Polratizations SAR Data
TL;DR: In this paper, a combination of multi-temporal and multi-polarization (quad-paralimetric) L-band SAR data was used to estimate forest carbon stocks and stand biophysical properties using combination of multispectral and quad-parallel SAR data and focuses on tropical peat swamp forest over Kampar Peninsula at Riau Province, Sumatra, Indonesia which is one of the most peat abundant region in the country.
Visual interpretation of synthetic aperture radar data for assessing land cover in tropical savannahs
TL;DR: Conclusions are drawn about the benefits of certain presentations of backscatter data to assist visual interpretation of SAR data to classify land cover within tropical savannas.
3
Monitoring restoration and aboveground biomass in tropical peat swamp forests on Borneo using multi-sensoral remote sensing data
Sandra Englhart
- 21 May 2013
TL;DR: In this article, the authors analyse the Kalibrierung von luftoder satellitengestutzten Fernerkundungsdaten im Hinblick auf die bestimmung der Biomasse.
3
References
Biomass Estimation Methods for Tropical Forests with Applications to Forest Inventory Data
TL;DR: In this paper, a strategie d'estimation de la biomasse totale au-dessus du sol a ete elaboree pour les forets tropicales is presented.
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Tropical secondary forests
Sandra Brown,Ariel E. Lugo +1 more
TL;DR: The literature on tropical secondary forests, defined as those resulting from human disturbance (e.g., logged forests and forest fallows), is reviewed to address questions related to their extent, rates of formation, ecological characteristics, values and uses to humans, and potential for management as discussed by the authors.
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Curve and surface fitting : an introduction
Peter Lancaster,Kȩstutis Šalkauskas +1 more
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TL;DR: The purpose of this book is to reveal to the interested (but perhaps mathematically unsophisticated) user the foundations and major features of several basic methods for curve and surface fitting that are currently in use.
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Abandoned pastures in eastern Amazonia. I. Patterns of plant succession
TL;DR: These Amazon ecosystems generally can recover after large-scale pasture disturbances and only where land has been used too intensively for long periods is reforestation uncertain, but probably less than 10% of the pasture land in northern Para has degraded to this level.
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