THE POTENTIAL CARBON LOSSES ESTIMATION WITH REMOTE SENSING-BASED DATA: CASE STUDY IN NOVA VIDA RANCH, RONDONIA, BRAZIL

<p>Carbon losses have enormous impacts on ecosystem and indicative meaning for ecological stability, which are, therefore, necessary to be evaluated. In recent years, with the increasingly number of people settling in Amazon basin, large areas of tropical forests have been exploited, which too...

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Main Authors: L. Lyu, J. Shen
Format: Article
Language:English
Published: Copernicus Publications 2022-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2022/1235/2022/isprs-archives-XLIII-B3-2022-1235-2022.pdf
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author L. Lyu
J. Shen
author_facet L. Lyu
J. Shen
author_sort L. Lyu
collection DOAJ
description <p>Carbon losses have enormous impacts on ecosystem and indicative meaning for ecological stability, which are, therefore, necessary to be evaluated. In recent years, with the increasingly number of people settling in Amazon basin, large areas of tropical forests have been exploited, which took the mainly responsible for local deforestation.</p><p>Carbon losses are hardly to be evaluated directly but can be inferred from the relationship between potential carbon and forest structures referring to previous studies. Remote sensing-based methods are widely used because of the obvious advantages of, such as the repeatability of data collection, high correlations between spectral bands and vegetation parameters etc. However, the selection of the spatial resolution of data is a critical issue that should be taken into consideration for it influences the performance of image texture thereby the discrimination of land covers, especial in complex forest stand structure. The approach for image feature extraction used in the study is explained.</p><p>Based on the available datasets, this study aims to estimate the potential carbon losses across selected plot in Nova Vida Ranch, Rondônia, Brazil between 1989 and 2001. The results showed that carbon potentials decreased at least 1.1*108 (Kg C) during the 12 years, which would affect all the climate, wildlife habitats and biodiversity. The study suggested that it is significantly important to reduce the uncertainties that are caused by saturation in some of the tropic areas. To pursue this, the research on the integration of optical and radar data is worth to experiment in further study.</p>
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spelling doaj.art-696ad2e424ca4ab09358ea9518b563622022-12-22T02:21:55ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342022-05-01XLIII-B3-20221235124010.5194/isprs-archives-XLIII-B3-2022-1235-2022THE POTENTIAL CARBON LOSSES ESTIMATION WITH REMOTE SENSING-BASED DATA: CASE STUDY IN NOVA VIDA RANCH, RONDONIA, BRAZILL. Lyu0J. Shen1QICS, No.28 Lianhuachi West Road, Haidian District, Beijing, 100830, ChinaQICS, No.28 Lianhuachi West Road, Haidian District, Beijing, 100830, China<p>Carbon losses have enormous impacts on ecosystem and indicative meaning for ecological stability, which are, therefore, necessary to be evaluated. In recent years, with the increasingly number of people settling in Amazon basin, large areas of tropical forests have been exploited, which took the mainly responsible for local deforestation.</p><p>Carbon losses are hardly to be evaluated directly but can be inferred from the relationship between potential carbon and forest structures referring to previous studies. Remote sensing-based methods are widely used because of the obvious advantages of, such as the repeatability of data collection, high correlations between spectral bands and vegetation parameters etc. However, the selection of the spatial resolution of data is a critical issue that should be taken into consideration for it influences the performance of image texture thereby the discrimination of land covers, especial in complex forest stand structure. The approach for image feature extraction used in the study is explained.</p><p>Based on the available datasets, this study aims to estimate the potential carbon losses across selected plot in Nova Vida Ranch, Rondônia, Brazil between 1989 and 2001. The results showed that carbon potentials decreased at least 1.1*108 (Kg C) during the 12 years, which would affect all the climate, wildlife habitats and biodiversity. The study suggested that it is significantly important to reduce the uncertainties that are caused by saturation in some of the tropic areas. To pursue this, the research on the integration of optical and radar data is worth to experiment in further study.</p>https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2022/1235/2022/isprs-archives-XLIII-B3-2022-1235-2022.pdf
spellingShingle L. Lyu
J. Shen
THE POTENTIAL CARBON LOSSES ESTIMATION WITH REMOTE SENSING-BASED DATA: CASE STUDY IN NOVA VIDA RANCH, RONDONIA, BRAZIL
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title THE POTENTIAL CARBON LOSSES ESTIMATION WITH REMOTE SENSING-BASED DATA: CASE STUDY IN NOVA VIDA RANCH, RONDONIA, BRAZIL
title_full THE POTENTIAL CARBON LOSSES ESTIMATION WITH REMOTE SENSING-BASED DATA: CASE STUDY IN NOVA VIDA RANCH, RONDONIA, BRAZIL
title_fullStr THE POTENTIAL CARBON LOSSES ESTIMATION WITH REMOTE SENSING-BASED DATA: CASE STUDY IN NOVA VIDA RANCH, RONDONIA, BRAZIL
title_full_unstemmed THE POTENTIAL CARBON LOSSES ESTIMATION WITH REMOTE SENSING-BASED DATA: CASE STUDY IN NOVA VIDA RANCH, RONDONIA, BRAZIL
title_short THE POTENTIAL CARBON LOSSES ESTIMATION WITH REMOTE SENSING-BASED DATA: CASE STUDY IN NOVA VIDA RANCH, RONDONIA, BRAZIL
title_sort potential carbon losses estimation with remote sensing based data case study in nova vida ranch rondonia brazil
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2022/1235/2022/isprs-archives-XLIII-B3-2022-1235-2022.pdf
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