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
A Range of Earth Observation Techniques for Assessing Plant Diversity
Angela Lausch,Marco Heurich,Marco Heurich,Paul Magdon,Duccio Rocchini,Karsten Schulz,Jan Bumberger,Doug King +7 more
- 01 Jan 2020
TL;DR: In this article, a review of the range of Earth observation (EO) platforms, sensors, and techniques for assessing vegetation diversity is presented, with recommendations for the future direction of monitoring vegetation diversity using remote sensing.
Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors
TL;DR: In this article, a suite of predictive metrics for field plots were derived from plot vertical height profiles and hyperspectral metrics included fraction of spectral mixing endmembers and narrowband indices that respond to photosynthetic vegetation, structure, senescence, health and water and lignin content.
Using artificial neural networks to map the spatial distribution of understorey bamboo from remote sensing data
TL;DR: In this article, the spatial distribution of understorey bamboo in Wolong Nature Reserve (southwestern China) using remote sensing data from a leaf-on or growing season was mapped.
A framework for creating and validating a non-linear spectrum-biomass model to estimate the secondary succession biomass in moist tropical forests
TL;DR: In this article, the authors developed a modeling framework for creating a valid spectrum-biomass model to estimate the secondary succession biomass, to assess the utility of the framework and the accuracy and validity of the model, and to identify the model's determinants.
Integrating Multi-Source Remote Sensing to Assess Forest Aboveground Biomass in the Khingan Mountains of North-Eastern China Using Machine-Learning Algorithms
TL;DR: In this article , the performance of three sources of remote sensing data used in forest AGB estimation, along with three machine-learning algorithms using extensive field measurements (N = 1058) made in the Khingan Mountains of north-eastern China in 2008.
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.
1.3K
•Book
Curve and surface fitting : an introduction
Peter Lancaster,Kȩstutis Šalkauskas +1 more
- 01 Jan 1986
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.
911
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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