Biomass estimation using satellite remote sensing data—An investigation on possible approaches for natural forest
TL;DR: In this paper, the authors suggest approaches for using satellite remote sensing data for regional biomass mapping in Madhav National Park (MP) using stratified random sampling in the homogeneous vegetation strata.
Abstract: Vegetation type and its biomass are considered important components affecting biosphere-atmosphere interactions. The measurements of biomass per unit area and productivity have been set as one of the goals for International Geosphere-Biosphere Programme (IGBP). Ground assessment of biomass, however, has been found insufficient to present spatial extent of the biomass. The present study suggests approaches for using satellite remote sensing data for regional biomass mapping in Madhav National Park (MP). The stratified random sampling in the homogeneous vegetation strata mapped using satellite remote sensing has been effectively utilized to extrapolate the sample point biomass observations in the first approach.
Citations
More filters
TL;DR: In this article, a review of previous research on remote sensing-based biomass estimation approaches and a discussion of existing issues influencing biomass estimation are valuable for further improving biomass estimation performance, especially in those study areas with complex forest stand structures and environmental conditions.
Abstract: Remotely sensed data have become the primary source for biomass estimation. A summary of previous research on remote sensing‐based biomass estimation approaches and a discussion of existing issues influencing biomass estimation are valuable for further improving biomass estimation performance. The literature review has demonstrated that biomass estimation remains a challenging task, especially in those study areas with complex forest stand structures and environmental conditions. Either optical sensor data or radar data are more suitable for forest sites with relatively simple forest stand structure than the sites with complex biophysical environments. A combination of spectral responses and image textures improves biomass estimation performance. More research is needed to focus on the integration of optical and radar data, the use of multi‐source data, and the selection of suitable variables and algorithms for biomass estimation at different scales. Understanding and identifying major uncertainties cause...
1,039 citations
01 Jan 2005
TL;DR: In this paper, Lu et al. explored the impact of forest stand structure on AGB estimation using LandsatThematic Mapper (TM) data in the eastern and western Brazilian Amazon, and discussed the impacts of forest stands structure on estimation performance.
Abstract: 408 N. Indiana Avenue, Bloomington, Indiana 47408, USA; e-mail: dlu@indiana.edu(Received 26 October 2004; in final form 28 January 2005)The complicated forest stand structure and associated abundant tree species inthe Amazon often induce difficulty in estimating aboveground biomass (AGB)using remotely sensed data. This paper explores AGB estimation using LandsatThematic Mapper (TM) data in the eastern and western Brazilian Amazon, anddiscusses the impacts of forest stand structure on AGB estimation. EstimatingAGB is still a challenging task, especially for the sites with complicatedbiophysical environments. The TM spectral responses are more suitable for AGBestimation in the sites with relatively simple forest stand structure than for thesites with complicated forest stand structure. Conversely, textures appear moreimportant than spectral responses in AGB estimation in the sites withcomplicated forest stand structure. A combination of spectral responses andtextures improves AGB estimation performance. Different study areas havingvarious biophysical conditions affect AGB estimation performance.
357 citations
Cites methods or result from "Biomass estimation using satellite ..."
...…estimated using remotely sensed data with different approaches, such as multiple regression analysis, K nearestneighbour, and neural network (Roy and Ravan 1996, Nelson et al. 2000, Steininger 2000, Foody et al. 2003, Zheng et al. 2004), and (2) indirectly estimated from canopy parameters,…...
[...]
...This conclusion is in broad agreement with other research (Roy and Ravan 1996, Steininger 2000, Foody et al. 2001, Zheng et al. 2004)....
[...]
...3.5 Development of aboveground biomass estimation models In AGB estimation research, multiple regression analysis is the most often used approach (Roy and Ravan 1996, Steininger 2000, Zheng et al. 2004 ), thus, it is also used in this study....
[...]
TL;DR: In this paper, the authors explored the impact of forest stand structure on aboveground biomass (AGB) estimation using Landsat Thematic Mapper (TM) data in the eastern and western Brazilian Amazon.
Abstract: The complicated forest stand structure and associated abundant tree species in the Amazon often induce difficulty in estimating aboveground biomass (AGB) using remotely sensed data. This paper explores AGB estimation using Landsat Thematic Mapper (TM) data in the eastern and western Brazilian Amazon, and discusses the impacts of forest stand structure on AGB estimation. Estimating AGB is still a challenging task, especially for the sites with complicated biophysical environments. The TM spectral responses are more suitable for AGB estimation in the sites with relatively simple forest stand structure than for the sites with complicated forest stand structure. Conversely, textures appear more important than spectral responses in AGB estimation in the sites with complicated forest stand structure. A combination of spectral responses and textures improves AGB estimation performance. Different study areas having various biophysical conditions affect AGB estimation performance.
342 citations
TL;DR: In this article, the relationship between forest stand parameters and Landsat Thematic Mapper (TM) spectral responses through analyses of three study areas in the eastern Amazon basin (Altamira, Bragantina, and Ponta de Pedras).
331 citations
TL;DR: A review of the latest developments in different fields of remote sensing for forest biomass mapping is presented in this article, where the authors focus on the potential of advanced remote sensing techniques to assess forest biomass.
Abstract: This is a review of the latest developments in different fields of remote sensing for forest biomass mapping. The main fields of research within the last decade have focused on the use of small footprint airborne laser scanning systems, polarimetric synthetic radar interferometry and hyperspectral data. Parallel developments in the field of digital airborne camera systems, digital photogrammetry and very high resolution multispectral data have taken place and have also proven themselves suitable for forest mapping issues. Forest mapping is a wide field and a variety of forest parameters can be mapped or modelled based on remote sensing information alone or combined with field data. The most common information required about a forest is related to its wood production and environmental aspects. In this paper, we will focus on the potential of advanced remote sensing techniques to assess forest biomass. This information is especially required by the REDD (reducing of emission from avoided deforestation and degradation) process. For this reason, new types of remote sensing data such as fullwave laser scanning data, polarimetric radar interferometry (polarimetric systhetic aperture interferometry, PolInSAR) and hyperspectral data are the focus of the research. In recent times, a few state-of-the-art articles in the field of airborne laser scanning for forest applications have been published. The current paper will provide a state-of-the-art review of remote sensing with a particular focus on biomass estimation, including new findings with fullwave airborne laser scanning, hyperspectral and polarimetric synthetic aperture radar interferometry. A synthesis of the actual findings and an outline of future developments will be presented.
329 citations
References
More filters
TL;DR: In this paper, a two-stream approximation model of radiative transfer was used to calculate values of hemispheric canopy reflectance in the visible and near-infrared wavelength intervals.
Abstract: A two-stream approximation model of radiative transfer is used to calculate values of hemispheric canopy reflectance in the visible and near-infrared wavelength intervals. Simple leaf models of photosynthesis and stomatal resistance are integrated over leaf orientation and canopy depth to obtain estimates of canopy photosynthesis and bulk stomatal or canopy resistance. The ratio of near-infrared and visible reflectances is predicted to be a near linear indicator of minimum canopy resistance and photosynthetic capacity but a poor predictor of leaf area index or biomass.
2,198 citations
"Biomass estimation using satellite ..." refers background in this paper
...Sellers (1985) presented a critical analysis of canopy reflectance and its role in studying photosynthesis and transpiration....
[...]
Book•
01 Jan 1968
1,998 citations
"Biomass estimation using satellite ..." refers background in this paper
...Major vegetation types following Champion and Seth's classification (Champion and Seth 1968) are Anogeissus pendula, Boswellia serrata, Butea monosperma, Acacia catechu, moist mixed deciduous and dry mixed deciduous and scrub mixed forests....
[...]
TL;DR: In this paper, an improved dark-object subtraction technique is demonstrated that allows the user to select a relative atmospheric scattering model to predict the haze values for all the spectral bands from a selected starting band haze value.
1,620 citations
"Biomass estimation using satellite ..." refers background or methods in this paper
...However, the amount of scattering occurring in TM5 and TM7 is quite small, except in very hazy atmopheres and can be considered negligible (Chavez 1988)....
[...]
...Therefore. each band was corrected to remove the radiance added due to atmospheric scattering (Chavez 1988)....
[...]
...Haze values in each band (band 1 to 4) were predicted using relative scattering model proposed by Chavez (1988)....
[...]
...This scattering acts as additive component in TM1, TM2, TM3 and TM4 bands (Siegel et al 1980; Slater et al 1983; Chavez 1988)....
[...]
TL;DR: In this article, the effects of off-nadir viewing and atmospheric constituents, coupled with the need to measure changing surface conditions, emphasize the need for multitemporal measurements of reflected radiation if primary production is to be estimated.
Abstract: Leaf structure and function are shown to result in distinctive variations in the absorption and reflection of solar radiation from plant canopies. The leaf properties that determine the radiation-interception characteristics of plant canopies are directly linked to photosynthesis, stomatal resistance and evapotranspiration and can be inferred from measurements of reflected solar energy. The effects of off-nadir viewing and atmospheric constituents, coupled with the need to measure changing surface conditions, emphasize the need for multitemporal measurements of reflected radiation if primary production is to be estimated.
1,307 citations
"Biomass estimation using satellite ..." refers methods in this paper
...…relationship of spectral vegetation indices derived from Biomass estimation using satellite remote sensing data 537 satellite data to surface vegetation parameters using correlation or regression analysis (Richardson and Wiegand 1977; Tucker et al 1985; Tucker and Sellers 1986; Graetz et al 1988)....
[...]
...satellite data to surface vegetation parameters using correlation or regression analysis (Richardson and Wiegand 1977; Tucker et al 1985; Tucker and Sellers 1986; Graetz et al 1988)....
[...]
Journal Article•
TL;DR: In this article, a study of the soil reflectance that supplies the background signal of vegetated surfaces is presented, taking into account a study reported by Kauth and Thomas (1976) and the determination of Kauth's plane of soils, sun angle effects, vegetation index modeling, and evaluation of vegetation indexes.
Abstract: In aircraft and satellite multispectral scanner data, soil background signals are superimposed on or intermingled with information about vegetation. A procedure which accounts for soil background would, therefore, make a considerable contribution to an operational use of Landsat and other spectral data for monitoring the productivity of range, forest, and crop lands. A description is presented of an investigation which was conducted to obtain information for the development of such a procedure. The investigation included a study of the soil reflectance that supplies the background signal of vegetated surfaces. Landsat data as recorded on computer compatible tapes were used in the study. The results of the investigation are discussed, taking into account a study reported by Kauth and Thomas (1976). Attention is given to the determination of Kauth's plane of soils, sun angle effects, vegetation index modeling, and the evaluation of vegetation indexes. Graphs are presented which show the results obtained with a gray mapping technique. The technique makes it possible to display plant, soil, water, and cloud conditions for any Landsat overpass.
1,262 citations