scholarly journals Estimating Aboveground Biomass in Tropical Forests: Field Methods and Error Analysis for the Calibration of Remote Sensing Observations

2017 ◽  
Vol 9 (1) ◽  
pp. 47 ◽  
Author(s):  
Fabio Gonçalves ◽  
Robert Treuhaft ◽  
Beverly Law ◽  
André Almeida ◽  
Wayne Walker ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Error Analysis ◽  
Tropical Forests ◽  
Aboveground Biomass ◽  
Field Methods

scholarly journals Factors influencing the estimation of aboveground biomass (AGB) in tropical forests using RADAR remote sensing.

2018 ◽  
Author(s):  
Victoria E Espinoza-Mendoza
Keyword(s):  
Remote Sensing ◽  
Tropical Forests ◽  
Aboveground Biomass ◽  
Field Data ◽  
Spatial Information ◽  
Alos Palsar ◽  
Radar Remote Sensing ◽  
Radar Sensors ◽  
Factors Influencing ◽  
Optical Images

Despite the large amount of accessible spatial information, the issue of estimating aboveground biomass through remote sensing, especially radar, remains a challenge in complex ecosystems such as tropical forests. One of the advantages of radar sensors is that of "crossing clouds" (capacity that does not have optical images like Landsat), facilitating their use in areas with permanent cloud cover. This work defines, from several studies conducted in tropical forests using ALOS PALSAR, which are the factors with the most influence on the signal of the radar. This can be useful in the development and/or improvement of methodologies to estimate aboveground biomass in tropical forests, combining field data and satellite imagery of radar.

scholarly journals Factors influencing the estimation of aboveground biomass (AGB) in tropical forests using RADAR remote sensing.

2018 ◽  
Author(s):  
Victoria E Espinoza-Mendoza
Keyword(s):  
Remote Sensing ◽  
Tropical Forests ◽  
Aboveground Biomass ◽  
Field Data ◽  
Spatial Information ◽  
Alos Palsar ◽  
Radar Remote Sensing ◽  
Radar Sensors ◽  
Factors Influencing ◽  
Optical Images

Despite the large amount of accessible spatial information, the issue of estimating aboveground biomass through remote sensing, especially radar, remains a challenge in complex ecosystems such as tropical forests. One of the advantages of radar sensors is that of "crossing clouds" (capacity that does not have optical images like Landsat), facilitating their use in areas with permanent cloud cover. This work defines, from several studies conducted in tropical forests using ALOS PALSAR, which are the factors with the most influence on the signal of the radar. This can be useful in the development and/or improvement of methodologies to estimate aboveground biomass in tropical forests, combining field data and satellite imagery of radar.

scholarly journals The real potential of current passive satellite data to map aboveground biomass in tropical forests

2021 ◽  
Author(s):  
Nidhi Jha ◽  
Nitin Kumar Tripathi ◽  
Nicolas Barbier ◽  
Salvatore G. P. Virdis ◽  
Wirong Chanthorn ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Satellite Data ◽  
Aboveground Biomass ◽  
Real Potential ◽  
The Real

The distribution of organic carbon in major components of forests located in five life zones of Venezuela

1997 ◽  
Vol 13 (5) ◽  
pp. 697-708 ◽  
Author(s):  
M. Delaney ◽  
S. Brown ◽  
A. E. Lugo ◽  
A. Torres-Lezama ◽  
N. Bello Quintero
Keyword(s):  
Tropical Forests ◽  
Aboveground Biomass ◽  
Dead Wood ◽  
Clear Trend ◽  
Soil C ◽  
Forest Inventories ◽  
Biomass Components ◽  
Life Zone ◽  
Data Gap

ABSTRACTOne of the major uncertainties concerning the role of tropical forests in the global carbon cycle is the lack of adequate data on the carbon content of all their components. The goal of this study was to contribute to filling this data gap by estimating the quantity of carbon in the biomass, soil and necromass for 23 long-term permanent forest plots in five life zones of Venezuela to determine how C was partitioned among these components across a range of environments. Aboveground biomass C ranged from 70 to 179 Mg ha−1 and soil C from 125 to 257 Mg ha−1, and they represented the two largest C components in all plots. The C in fine litter (2.4 to 5.2 Mg ha−1), dead wood (2.4 to 21.2 Mg ha−1) and roots (23.6 to 38.0 Mg ha−1) accounted for less than 13% of the total C. The total amount of C among life zones ranged from 302 to 488 Mg ha−1, and showed no clear trend with life zone. In three of the five life zones, more C was found in the dead (soil, litter, dead wood) than in the live (biomass) components (dead to live ratios of 1.3 to 2.3); the lowland moist and moist transition to dry life zones had dead to live ratios of less than one. Results from this research suggest that for most life zones, an amount equivalent to between 20 and 58% of the aboveground biomass is located in necromass and roots. These percentages coupled with reliable estimates of aboveground biomass from forest inventories enable a more complete estimation of the C content of tropical forests to be made.

Land Classification Research

2017 ◽  
pp. 242-253
Author(s):  
Michael N. DeMers
Keyword(s):  
Remote Sensing ◽  
Error Analysis ◽  
Research Agenda ◽  
Classification Error ◽  
Technological Changes ◽  
Land Classification ◽  
Geographic Scale ◽  
Economic Implications ◽  
Wide Range ◽  
Digital Pixel

Land classification is so central to geography that its use, and the use of its derivative and corresponding products, is seldom even questioned. Since its earliest implementations land classification has adapted to changes in geographic scale and in the nature of the categorical systematics upon which it is based. Land classification has changed in its techniques and in how it adapts to technological changes, particularly those related to remote sensing and geographic information systems. The adaptation of land classification to digital pixel-based classification spawned a wide range of land classification error analysis techniques. These techniques do not easily transfer to non-pixel based classification error analysis as recent research on rapid land assessment methodologies and land change error analysis has shown. This disparity suggests a need to reevaluate the very nature of land classification research. To begin such an evaluation, this lecture provides a retrospective on the roots of land classification research, examines some of the milestones of that research, and describes the divergent paths such research has taken. It examines the importance of land classification in these times of ever decreasing global resources, and reviews its potential legal, social, and economic implications. Based on this retrospective, this paper advances the need for geographic researchers to envision land classification not only as a set of techniques, but more generally to focus on systematic geography in all its facets as a research agenda in its own right.

scholarly journals Effects of large aboveground biomass loss events on the deadwood and litter mass dynamics of seasonal tropical forests in Cambodia

Tropics ◽  
2018 ◽  
Vol 27 (2) ◽  
pp. 33-48
Author(s):  
Yoshiyuki Kiyono ◽  
Eriko Ito ◽  
Yukako Monda ◽  
Jumpei Toriyama ◽  
Thy Sum
Keyword(s):  
Tropical Forests ◽  
Aboveground Biomass ◽  
Litter Mass ◽  
Biomass Loss
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