Monitoring Forest Carbon Sequestration with Remote Sensing
The forest, as the main body of the terrestrial ecosystem, has a huge carbon sink function and plays an important role in coping with global climate change. This reprint on “Monitoring forest carbon sequestration with remote sensing” mainly focuses on new remote sensing theories, methods, and techno...
में बचाया:
| स्वरूप: | Online |
|---|---|
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| विषय: | |
| ऑनलाइन पहुंच: | ONIX_20230511_9783036572086_52 |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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| _version_ | 1869514347438407680 |
|---|---|
| collection | Directory of Open Access Books |
| description | The forest, as the main body of the terrestrial ecosystem, has a huge carbon sink function and plays an important role in coping with global climate change. This reprint on “Monitoring forest carbon sequestration with remote sensing” mainly focuses on new remote sensing theories, methods, and technologies for monitoring carbon sinks in forest ecosystems (including urban forest ecosystems). |
| format | Online |
| id | doab-20.500.12854ir-100035 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1000352024-03-28T03:32:32Z Monitoring Forest Carbon Sequestration with Remote Sensing Du, Huaqiang Fan, Wenyi Li, Mingshi Fan, Weiliang Mao, Fangjie forest height synthetic aperture radar (SAR) interferometry random volume over ground (RVoG) model three-stage inversion method bamboo forest BEPS model gross primary productivity net primary productivity spatiotemporal evolution climate change backscatter coefficients polarization decomposition collinearity ridge regression RF PCA aboveground carbon density LiDAR stratified estimation machine learning algorithm Northeast China canopy closure the GOST model fisheye camera photos transects LAI forest height inversion three-stage algorithm coherence optimization complex coherence amplitude inversion SRTM random forest stochastic gradient boosting random forest Kriging wavelet analysis carbon storage land use/cover change scenario simulation PLUS model InVEST model remote sensing inversion dynamic change driving factors Shaoguan City above-ground biomass (AGB) airborne LiDAR airborne hyperspectral wavelet transform feature fusion Landsat time-series VCT model classifying forest types forest aboveground biomass forest aboveground biomass (AGB) scale effect random forest (RF) scale correction phenology dynamic threshold method northeast China TIMESAT forest carbon stocks simulation LUCC multi-source data feature selection aboveground biomass habitat dataset Landsat 8-OLI images pine forest model comparison 3D green volume UAV-Lidar urban forest random forest model remote sensing MODIS FY-3C VIRR Yunnan Province mangrove forests Hainan Island deep learning influential mechanism Bayesian hierarchical modelling geostatistics Eucalyptus grandis Eucalyptus camaldulensis Pinus patula spatial random effects spatially varying coefficient rubber plantation time series shapelet Landsat Pinus densata terrain niche index dynamic model canopy volume diameter at breast height (DBH) aboveground biomass (AGB) stem volume (V) near-infrared reflectance of vegetation carbon budget L-band PolInSAR RVoG model forest density terrain slope coherence extinction coefficient signal penetration 3-PG model eucalyptus forest age forest structure sensitivity clumping index estimation impact analysis field measurement Sentinel-2 images artificial neural network random forests quantile regression neural network Pinus densata forests thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics The forest, as the main body of the terrestrial ecosystem, has a huge carbon sink function and plays an important role in coping with global climate change. This reprint on “Monitoring forest carbon sequestration with remote sensing” mainly focuses on new remote sensing theories, methods, and technologies for monitoring carbon sinks in forest ecosystems (including urban forest ecosystems). 2023-05-11T17:17:42Z 2023-05-11T17:17:42Z 2023 book ONIX_20230511_9783036572086_52 9783036572086 9783036572093 https://directory.doabooks.org/handle/20.500.12854/100035 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7128 https://mdpi.com/books/pdfview/book/7128 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7209-3 10.3390/books978-3-0365-7209-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036572086 9783036572093 652 Basel open access |
| spellingShingle | forest height synthetic aperture radar (SAR) interferometry random volume over ground (RVoG) model three-stage inversion method bamboo forest BEPS model gross primary productivity net primary productivity spatiotemporal evolution climate change backscatter coefficients polarization decomposition collinearity ridge regression RF PCA aboveground carbon density LiDAR stratified estimation machine learning algorithm Northeast China canopy closure the GOST model fisheye camera photos transects LAI forest height inversion three-stage algorithm coherence optimization complex coherence amplitude inversion SRTM random forest stochastic gradient boosting random forest Kriging wavelet analysis carbon storage land use/cover change scenario simulation PLUS model InVEST model remote sensing inversion dynamic change driving factors Shaoguan City above-ground biomass (AGB) airborne LiDAR airborne hyperspectral wavelet transform feature fusion Landsat time-series VCT model classifying forest types forest aboveground biomass forest aboveground biomass (AGB) scale effect random forest (RF) scale correction phenology dynamic threshold method northeast China TIMESAT forest carbon stocks simulation LUCC multi-source data feature selection aboveground biomass habitat dataset Landsat 8-OLI images pine forest model comparison 3D green volume UAV-Lidar urban forest random forest model remote sensing MODIS FY-3C VIRR Yunnan Province mangrove forests Hainan Island deep learning influential mechanism Bayesian hierarchical modelling geostatistics Eucalyptus grandis Eucalyptus camaldulensis Pinus patula spatial random effects spatially varying coefficient rubber plantation time series shapelet Landsat Pinus densata terrain niche index dynamic model canopy volume diameter at breast height (DBH) aboveground biomass (AGB) stem volume (V) near-infrared reflectance of vegetation carbon budget L-band PolInSAR RVoG model forest density terrain slope coherence extinction coefficient signal penetration 3-PG model eucalyptus forest age forest structure sensitivity clumping index estimation impact analysis field measurement Sentinel-2 images artificial neural network random forests quantile regression neural network Pinus densata forests thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics Monitoring Forest Carbon Sequestration with Remote Sensing |
| title | Monitoring Forest Carbon Sequestration with Remote Sensing |
| title_full | Monitoring Forest Carbon Sequestration with Remote Sensing |
| title_fullStr | Monitoring Forest Carbon Sequestration with Remote Sensing |
| title_full_unstemmed | Monitoring Forest Carbon Sequestration with Remote Sensing |
| title_short | Monitoring Forest Carbon Sequestration with Remote Sensing |
| title_sort | monitoring forest carbon sequestration with remote sensing |
| topic | forest height synthetic aperture radar (SAR) interferometry random volume over ground (RVoG) model three-stage inversion method bamboo forest BEPS model gross primary productivity net primary productivity spatiotemporal evolution climate change backscatter coefficients polarization decomposition collinearity ridge regression RF PCA aboveground carbon density LiDAR stratified estimation machine learning algorithm Northeast China canopy closure the GOST model fisheye camera photos transects LAI forest height inversion three-stage algorithm coherence optimization complex coherence amplitude inversion SRTM random forest stochastic gradient boosting random forest Kriging wavelet analysis carbon storage land use/cover change scenario simulation PLUS model InVEST model remote sensing inversion dynamic change driving factors Shaoguan City above-ground biomass (AGB) airborne LiDAR airborne hyperspectral wavelet transform feature fusion Landsat time-series VCT model classifying forest types forest aboveground biomass forest aboveground biomass (AGB) scale effect random forest (RF) scale correction phenology dynamic threshold method northeast China TIMESAT forest carbon stocks simulation LUCC multi-source data feature selection aboveground biomass habitat dataset Landsat 8-OLI images pine forest model comparison 3D green volume UAV-Lidar urban forest random forest model remote sensing MODIS FY-3C VIRR Yunnan Province mangrove forests Hainan Island deep learning influential mechanism Bayesian hierarchical modelling geostatistics Eucalyptus grandis Eucalyptus camaldulensis Pinus patula spatial random effects spatially varying coefficient rubber plantation time series shapelet Landsat Pinus densata terrain niche index dynamic model canopy volume diameter at breast height (DBH) aboveground biomass (AGB) stem volume (V) near-infrared reflectance of vegetation carbon budget L-band PolInSAR RVoG model forest density terrain slope coherence extinction coefficient signal penetration 3-PG model eucalyptus forest age forest structure sensitivity clumping index estimation impact analysis field measurement Sentinel-2 images artificial neural network random forests quantile regression neural network Pinus densata forests thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics |
| topic_facet | forest height synthetic aperture radar (SAR) interferometry random volume over ground (RVoG) model three-stage inversion method bamboo forest BEPS model gross primary productivity net primary productivity spatiotemporal evolution climate change backscatter coefficients polarization decomposition collinearity ridge regression RF PCA aboveground carbon density LiDAR stratified estimation machine learning algorithm Northeast China canopy closure the GOST model fisheye camera photos transects LAI forest height inversion three-stage algorithm coherence optimization complex coherence amplitude inversion SRTM random forest stochastic gradient boosting random forest Kriging wavelet analysis carbon storage land use/cover change scenario simulation PLUS model InVEST model remote sensing inversion dynamic change driving factors Shaoguan City above-ground biomass (AGB) airborne LiDAR airborne hyperspectral wavelet transform feature fusion Landsat time-series VCT model classifying forest types forest aboveground biomass forest aboveground biomass (AGB) scale effect random forest (RF) scale correction phenology dynamic threshold method northeast China TIMESAT forest carbon stocks simulation LUCC multi-source data feature selection aboveground biomass habitat dataset Landsat 8-OLI images pine forest model comparison 3D green volume UAV-Lidar urban forest random forest model remote sensing MODIS FY-3C VIRR Yunnan Province mangrove forests Hainan Island deep learning influential mechanism Bayesian hierarchical modelling geostatistics Eucalyptus grandis Eucalyptus camaldulensis Pinus patula spatial random effects spatially varying coefficient rubber plantation time series shapelet Landsat Pinus densata terrain niche index dynamic model canopy volume diameter at breast height (DBH) aboveground biomass (AGB) stem volume (V) near-infrared reflectance of vegetation carbon budget L-band PolInSAR RVoG model forest density terrain slope coherence extinction coefficient signal penetration 3-PG model eucalyptus forest age forest structure sensitivity clumping index estimation impact analysis field measurement Sentinel-2 images artificial neural network random forests quantile regression neural network Pinus densata forests thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics |
| url | ONIX_20230511_9783036572086_52 |