Remote Sensing of Aboveground Biomass in Tropical Secondary Forests: A Review

Table 1

Major issues discussed in the reviewed references and the information derived from the aboveground biomass (AGB) estimation by using remote sensing data.

Topic	Information derived	Reference
Forest regrowth	(i) Identifying forest regenerating processes using temporal AGB comparison	[28, 29, 37, 38, 88, 104–106]
	(ii) Forest structure and AGB changing across forest successional gradient
	(iii) Secondary forest detection
Human impact on forest biomass	(i) AGB differences due to disturbance regimes	[26, 28, 49, 86, 102]
	(ii) Effect of invasive tree species on the stored AGB and forest structure
Forest responses to ecological conditions	(i) AGB differences between vegetation physiognomies	[12, 13, 53, 73, 94, 104]
	(ii) Forest structure differences related to topoedaphic gradients, climatic conditions, or past land use
Carbon sink, source, and storage	(i) Carbon sequestration	[12, 26, 29, 30, 102, 106–111]
	(ii) Carbon amount before specific human impact
	(iii) Identifying management action that can improve carbon storage
Modeling evaluation	(i) Testing modeling approach	[17, 18, 30, 37, 41, 78, 87, 88, 98, 102, 112–121]
	(ii) Image processing techniques
	(iii) Influence of different spatial scale
	(iv) Simulation approach
Sensor evaluation	(i) Testing the performance of specific satellite data to estimate biomass and forest structure	[28, 50, 104, 105, 107, 111–113, 116, 118, 121–131]
	(ii) Testing the AGB accuracy between successional stages
	(iii) Testing performance of specific satellite data to temporal comparison