23.2.18.1 Carbon Sequestration, CO2 Sequestration, Carbon Storage

Chapter Contents (Back)
Carbon Sequestration. Carbon Storage. Carbon. CO2.
See also Pollution, Greenhouse Gasses.

Sanga-Ngoie, K., Iizuka, K., Kobayashi, S.,
Estimating CO2 Sequestration by Forests in Oita Prefecture, Japan, by Combining LANDSAT ETM+ and ALOS Satellite Remote Sensing Data,
RS(4), No. 11, November 2012, pp. 3544-3570.
DOI Link 1211
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Schreyer, J.[Johannes], Tigges, J.[Jan], Lakes, T.[Tobia], Churkina, G.[Galina],
Using Airborne LiDAR and QuickBird Data for Modelling Urban Tree Carbon Storage and Its Distribution: A Case Study of Berlin,
RS(6), No. 11, 2014, pp. 10636-10655.
DOI Link 1412
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Iizuka, K.[Kotaro], Tateishi, R.[Ryutaro],
Estimation of CO2 Sequestration by the Forests in Japan by Discriminating Precise Tree Age Category using Remote Sensing Techniques,
RS(7), No. 11, 2015, pp. 15082.
DOI Link 1512
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Zhang, M.Y.[Ming-Yang], Wang, K.[Kelin], Liu, H.Y.[Hui-Yu], Wang, J.[Jing], Zhang, C.H.[Chun-Hua], Yue, Y.[Yuemin], Qi, X.K.[Xiang-Kun],
Spatio-Temporal Variation and Impact Factors for Vegetation Carbon Sequestration and Oxygen Production Based on Rocky Desertification Control in the Karst Region of Southwest China,
RS(8), No. 2, 2016, pp. 102.
DOI Link 1603
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Mendez-Estrella, R.[Romeo], Romo-Leon, J.R.[Jose Raul], Castellanos, A.E.[Alejandro E.],
Mapping Changes in Carbon Storage and Productivity Services Provided by Riparian Ecosystems of Semi-Arid Environments in Northwestern Mexico,
IJGI(6), No. 10, 2017, pp. xx-yy.
DOI Link 1710
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Li, Y.G.[Yang-Guang], Han, N.[Ning], Li, X.J.[Xue-Jian], Du, H.Q.[Hua-Qiang], Mao, F.J.[Fang-Jie], Cui, L.[Lu], Liu, T.Y.[Teng-Yan], Xing, L.[Luqi],
Spatiotemporal Estimation of Bamboo Forest Aboveground Carbon Storage Based on Landsat Data in Zhejiang, China,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Liu, Y.[Yanan], Hu, X.Y.[Xiang-Yun], Wu, H.[Hao], Zhang, A.Q.[An-Qi], Feng, J.T.[Jie-Ting], Gong, J.Y.[Jian-Ya],
Spatiotemporal Analysis of Carbon Emissions and Carbon Storage Using National Geography Census Data in Wuhan, China,
IJGI(8), No. 1, 2018, pp. xx-yy.
DOI Link 1901
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Zhao, Y.Y.[Ying-Yi], Hu, Q.W.[Qing-Wu], Li, H.D.[Hai-Dong], Wang, S.H.[Shao-Hua], Ai, M.Y.[Ming-Yao],
Evaluating Carbon Sequestration and PM2.5 Removal of Urban Street Trees Using Mobile Laser Scanning Data,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
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Luo, K.S.[Kai-Sheng],
Spatial Pattern of Forest Carbon Storage in the Vertical and Horizontal Directions Based on HJ-CCD Remote Sensing Imagery,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
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Dai, X.[Xue], Yang, G.S.[Gui-Shan], Liu, D.S.[De-Sheng], Wan, R.R.[Rong-Rong],
Vegetation Carbon Sequestration Mapping in Herbaceous Wetlands by Using a MODIS EVI Time-Series Data Set: A Case in Poyang Lake Wetland, China,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
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Sánchez-Ruiz, S.[Sergio], Maselli, F.[Fabio], Chiesi, M.[Marta], Fibbi, L.[Luca], Martínez, B.[Beatriz], Campos-Taberner, M.[Manuel], García-Haro, F.J.[Francisco Javier], Gilabert, M.A.[María Amparo],
Remote Sensing and Bio-Geochemical Modeling of Forest Carbon Storage in Spain,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
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Wei, P.J.[Pei-Jie], Chen, S.Y.[Sheng-Yun], Wu, M.H.[Ming-Hui], Jia, Y.L.[Ying-Lan], Xu, H.J.[Hao-Jie], Liu, D.[Deming],
Increased Ecosystem Carbon Storage between 2001 and 2019 in the Northeastern Margin of the Qinghai-Tibet Plateau,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Fang, M.Z.[Min-Zhe], Si, G.X.[Guo-Xin], Yu, Q.[Qiang], Huang, H.G.[Hua-Guo], Huang, Y.[Yuan], Liu, W.[Wei], Guo, H.Q.[Hong-Qiong],
Study on the Relationship between Topological Characteristics of Vegetation Ecospatial Network and Carbon Sequestration Capacity in the Yellow River Basin, China,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
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Baiamonte, G.[Giorgio], Gristina, L.[Luciano], Orlando, S.[Santo], Palermo, S.S.[Salvatore Samuel], Minacapilli, M.[Mario],
No-Till Soil Organic Carbon Sequestration Patterns as Affected by Climate and Soil Erosion in the Arable Land of Mediterranean Europe,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Tian, L.[Lei], Tao, Y.[Yu], Fu, W.X.[Wen-Xue], Li, T.[Tao], Ren, F.[Fang], Li, M.Y.[Ming-Yang],
Dynamic Simulation of Land Use/Cover Change and Assessment of Forest Ecosystem Carbon Storage under Climate Change Scenarios in Guangdong Province, China,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Wang, L.G.[Ling-Ge], Zhu, R.[Rui], Yin, Z.L.[Zhen-Liang], Chen, Z.X.[Ze-Xia], Fang, C.S.[Chun-Shuang], Lu, R.[Rui], Zhou, J.Q.[Ji-Qiang], Feng, Y.L.[Yong-Lin],
Impacts of Land-Use Change on the Spatio-Temporal Patterns of Terrestrial Ecosystem Carbon Storage in the Gansu Province, Northwest China,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
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Li, S.P.[Sheng-Peng], Cao, Y.G.[Yin-Gui], Liu, J.L.[Jian-Ling], Wang, S.F.[Shu-Fei], Zhou, W.X.[Wen-Xiang],
Assessing Spatiotemporal Dynamics of Land Use and Cover Change and Carbon Storage in China's Ecological Conservation Pilot Zone: A Case Study in Fujian Province,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Sun, J.F.[Jian-Feng], Zhang, Y.[Ying], Qin, W.[Weishan], Chai, G.Q.[Guo-Qi],
Estimation and Simulation of Forest Carbon Stock in Northeast China Forestry Based on Future Climate Change and LUCC,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Wang, L.J.[Li-Jun], Bai, Y.[Yang], Wang, J.Y.[Jia-Yao], Qin, F.[Fen], Liu, C.[Chun], Zhou, Z.[Zheng], Jiao, X.H.[Xiao-Hao],
A Transferable Learning Classification Model and Carbon Sequestration Estimation of Crops in Farmland Ecosystem,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Li, X.C.[Xue-Chen], Luo, Y.H.[Yu-Hang], Wu, J.S.[Jian-Sheng],
Decoupling Relationship between Urbanization and Carbon Sequestration in the Pearl River Delta from 2000 to 2020,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
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Liu, S.H.[Shuo-Hua], Liu, X.F.[Xie-Fei], Ding, Z.M.[Zhen-Min], Yao, S.[Shunbo],
Impact of the Management Scale on the Technical Efficiency of Forest Vegetation Carbon Sequestration: A Case Study of State-Owned Forestry Enterprises in Northeast China,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Zhang, S.Q.[Si-Qi], Chen, P.[Peng], Zhang, Z.H.[Zhen-Hua], Pan, D.[Delu],
Carbon Air-Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Liao, Y.[Yi], Zhang, J.L.[Jia-Long], Bao, R.[Rui], Xu, D.F.[Dong-Fan], Han, D.Y.[Dong-Yang],
Modelling the Dynamics of Carbon Storages for Pinus densata Using Landsat Images in Shangri-La Considering Topographic Factors,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Awad, M.M.[Mohamad M.],
FlexibleNet: A New Lightweight Convolutional Neural Network Model for Estimating Carbon Sequestration Qualitatively Using Remote Sensing,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Huang, Q.[Qing], Lu, X.[Xuehe], Chen, F.[Fanxingyu], Zhang, Q.[Qian], Zhang, H.D.[Hai-Dong],
High-Resolution Remote Sensing Images Can Better Estimate Changes in Carbon Assimilation of an Urban Forest,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Zhang, K.[Kun], Zhu, C.M.[Chang-Ming], Ma, X.D.[Xiao-Dong], Zhang, X.[Xin], Yang, D.[Dehu], Shao, Y.[Yakui],
Spatiotemporal Variation Characteristics and Dynamic Persistence Analysis of Carbon Sources/Sinks in the Yellow River Basin,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Hong, W.H.[Wen-Hai], Bao, G.[Guangdao], Du, Y.[Yunxia], Guo, Y.J.[Yu-Jie], Wang, C.[Chengcong], Wang, G.D.[Guo-Dong], Ren, Z.B.[Zhi-Bin],
Spatiotemporal Changes in Supply-Demand Patterns of Carbon Sequestration Services in an Urban Agglomeration under China's Rapid Urbanization,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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He, Y.L.[Yun-Lin], Ma, J.M.[Jiang-Ming], Zhang, C.S.[Chang-Shun], Yang, H.[Hao],
Spatio-Temporal Evolution and Prediction of Carbon Storage in Guilin Based on FLUS and InVEST Models,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
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Lü, F.C.[Fu-Cheng], Song, Y.[Yunkun], Yan, X.D.[Xiao-Dong],
Evaluating Carbon Sink Potential of Forest Ecosystems under Different Climate Change Scenarios in Yunnan, Southwest China,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
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Ablat, X.[Xarapat], Huang, C.[Chong], Tang, G.P.[Guo-Ping], Erkin, N.[Nurmemet], Sawut, R.[Rukeya],
Modeling Soil CO2 Efflux in a Subtropical Forest by Combining Fused Remote Sensing Images with Linear Mixed Effect Models,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
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Zhang, C.[Chao], Song, T.T.[Tong-Tong], Shi, R.[Runhe], Hou, Z.Y.[Zheng-Yang], Wu, N.[Nan], Zhang, H.[Han], Zhuo, W.[Wei],
Estimating the Forest Carbon Storage of Chongming Eco-Island, China, Using Multisource Remotely Sensed Data,
RS(15), No. 6, 2023, pp. 1575.
DOI Link 2304
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Tu, H.Y.[Hai-Yang], Jiapaer, G.[Guli], Yu, T.[Tao], Zhang, L.[Liancheng], Chen, B.J.[Bo-Jian], Lin, K.X.[Kai-Xiong], Li, X.[Xu],
Effects of Land Cover Change on Vegetation Carbon Source/Sink in Arid Terrestrial Ecosystems of Northwest China, 2001-2018,
RS(15), No. 9, 2023, pp. xx-yy.
DOI Link 2305
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Zhang, H.Q.[Hui-Qing], Lin, S.[Simei], Yu, Q.[Qiang], Gao, G.[Ge], Xu, C.L.[Cheng-Long], Huang, H.G.[Hua-Guo],
A Novel Forest EcoSpatial Network for Carbon Stocking Using Complex Network Theory in the Yellow River Basin,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Wang, Y.M.[Yi-Ming], Zhang, Z.[Zengxin], Chen, X.[Xi],
Land Use Transitions and the Associated Impacts on Carbon Storage in the Poyang Lake Basin, China,
RS(15), No. 11, 2023, pp. 2703.
DOI Link 2306
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Wang, C.Y.[Chun-Yang], Yang, K.[Kui], Yang, W.[Wei], Qiang, H.Y.[Hai-Yang], Xue, H.Y.[Hui-Yuan], Lu, B.[Bibo], Zhou, P.[Peng],
R-MFNet: Analysis of Urban Carbon Stock Change against the Background of Land-Use Change Based on a Residual Multi-Module Fusion Network,
RS(15), No. 11, 2023, pp. 2823.
DOI Link 2306
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Wolfe, M.[Matthew], Dobreva, I.D.[Iliyana D.], Ruiz-Guzman, H.A.[Henry A.], Huo, D.[Da], Teare, B.L.[Brody L.], Adams, T.[Tyler], Everett, M.E.[Mark E.], Bishop, M.[Michael], Jessup, R.[Russell], Hays, D.B.[Dirk B.],
Wavelet Analysis of GPR Data for Belowground Mass Assessment of Sorghum Hybrid for Soil Carbon Sequestration,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
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Sun, B.Q.[Bing-Qing], Du, J.Q.[Jia-Qiang], Chong, F.F.[Fang-Fang], Li, L.J.[Li-Juan], Zhu, X.Q.[Xiao-Qian], Zhai, G.Q.[Guang-Qing], Song, Z.[Zebang], Mao, J.L.[Jia-Lin],
Spatio-Temporal Variation and Prediction of Carbon Storage in Terrestrial Ecosystems in the Yellow River Basin,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
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Ying, J.Y.[Jia-Ying], Jiang, J.[Jiafei], Wang, H.Y.[Hua-Yi], Liu, Y.L.[Yi-Lin], Gong, W.[Wei], Liu, B.M.[Bo-Ming], Han, G.[Ge],
Analysis of the Income Enhancement Potential of the Terrestrial Carbon Sink in China Based on Remotely Sensed Data,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
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Zhu, N.[Nanyan], Ai, J.W.[Jing-Wen], Zeng, Z.[Zhen], Zhou, C.H.[Chun-Hua],
Exploring the Spatial Relationship between the Ecological Topological Network and Carbon Sequestration Capacity of Coastal Urban Ecosystems: A Case Study of Yancheng City, China,
RS(15), No. 16, 2023, pp. 4007.
DOI Link 2309
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Li, J.F.[Jian-Feng], Liu, S.Q.[Si-Qi], Peng, B.[Biao], Ye, H.[Huping], Zhang, Z.[Zhuoying],
Identification and Optimization of County-Level Ecological Spaces under the Dual-Carbon Target: A Case Study of Shaanxi Province, China,
RS(15), No. 16, 2023, pp. 4009.
DOI Link 2309
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Li, P.C.[Peng-Cheng], Chen, J.[Jundian], Li, Y.X.[Yi-Xin], Wu, W.[Wen],
Using the InVEST-PLUS Model to Predict and Analyze the Pattern of Ecosystem Carbon storage in Liaoning Province, China,
RS(15), No. 16, 2023, pp. 4050.
DOI Link 2309
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Wei, X.D.[Xin-Dong], Zhang, S.Y.[Shu-Yuan], Luo, P.P.[Ping-Ping], Zhang, S.[Shuomeng], Wang, H.[Huanyuan], Kong, D.[Dehao], Zhang, Y.Y.[Yuan-Yuan], Tang, Y.[Yang], Sun, S.[Shuo],
A Multi-Scenario Prediction and Spatiotemporal Analysis of the Land Use and Carbon Storage Response in Shaanxi,
RS(15), No. 20, 2023, pp. 5036.
DOI Link 2310
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Zhang, Z.[Zhenlong], Yu, X.P.[Xiao-Ping], Hou, Y.Z.[Yan-Zhen], Chen, T.H.[Tian-Hao], Lu, Y.[Yun], Sun, H.[Honghu],
Carbon Emission Patterns and Carbon Balance Zoning in Urban Territorial Spaces Based on Multisource Data: A Case Study of Suzhou City, China,
IJGI(12), No. 9, 2023, pp. 385.
DOI Link 2310
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Guan, D.J.[Dong-Jie], Nie, J.L.[Jia-Long], Zhou, L.[Lilei], Chang, Q.Y.[Qiong-Yao], Cao, J.M.[Jia-Meng],
How to Simulate Carbon Sequestration Potential of Forest Vegetation? A Forest Carbon Sequestration Model across a Typical Mountain City in China,
RS(15), No. 21, 2023, pp. 5096.
DOI Link 2311
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Li, G.Y.[Gui-Yuan], Cheng, G.[Guo], Liu, G.H.[Guo-Hua], Chen, C.[Chi], He, Y.[Yu],
Simulating the Land Use and Carbon Storage for Nature-Based Solutions (NbS) under Multi-Scenarios in the Three Gorges Reservoir Area: Integration of Remote Sensing Data and the RF-Markov-CA-InVEST Model,
RS(15), No. 21, 2023, pp. 5100.
DOI Link 2311
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Song, H.H.[Hai-Hong], Li, Y.F.[Yi-Fan], Gu, L.Y.[Li-Yuan], Tang, J.N.[Jing-Nan], Zhang, X.[Xin],
Spatiotemporal Pattern of Carbon Compensation Potential and Network Association in Urban Agglomerations in the Yellow River Basin,
IJGI(12), No. 10, 2023, pp. 435.
DOI Link 2311
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Shao, Y.[Yakui], Zhu, Q.[Qin], Feng, Z.[Zhongke], Sun, L.[Linhao], Yang, X.[Xuanhan], Li, X.[Xusheng], Wang, A.[Aiai], Yang, F.[Fei], Ji, H.[Honglin],
Temporal and Spatial Assessment of Carbon Flux Dynamics: Evaluating Emissions and Sequestration in the Three Northern Protection Forest Project Areas Supported by Google Earth Engine,
RS(16), No. 5, 2024, pp. 777.
DOI Link 2403
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Yu, S.J.[Shu-Jie], Wang, Z.X.[Zhi-Xuan], Jiang, Z.T.[Zhi-Ting], Li, T.[Teng], Ding, X.S.[Xiao-Song], Wei, X.D.[Xiao-Dao], Liu, D.[Dong],
Marine Heatwave and Terrestrial Drought Reduced CO2 Uptake in the East China Sea in 2022,
RS(16), No. 5, 2024, pp. 849.
DOI Link 2403
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Lyu, G.[Guanting], Wang, X.Y.[Xiao-Yi], Huang, X.[Xieqin], Xu, J.F.[Jin-Feng], Li, S.[Siyu], Cui, G.[Guishan], Huang, H.[Huabing],
Toward a More Robust Estimation of Forest Biomass Carbon Stock and Carbon Sink in Mountainous Region: A Case Study in Tibet, China,
RS(16), No. 9, 2024, pp. 1481.
DOI Link 2405
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Li, G.[Guang], Togo, R.[Ren], Maeda, K.[Keisuke], Sako, A.[Akinori], Yamauchi, I.[Isao], Hayakawa, T.[Tetsuya], Nakamae, S.[Shigeyuki], Ogawa, T.[Takahiro], Haseyama, M.[Miki],
Algal Bed Region Segmentation Based on a ViT Adapter Using Aerial Images for Estimating CO2 Absorption Capacity,
RS(16), No. 10, 2024, pp. 1742.
DOI Link 2405
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Zhang, J.[Jiejun], Yang, J.[Jie], Liu, P.F.[Peng-Fei], Liu, Y.[Yi], Zheng, Y.W.[Yi-Wen], Shen, X.Y.[Xiao-Yu], Li, B.C.[Bing-Chen], Song, H.Q.[Hong-Quan], Liang, Z.Z.[Zong-Zheng],
Effects of Land Use/Cover Change on Terrestrial Carbon Stocks in the Yellow River Basin of China from 2000 to 2030,
RS(16), No. 10, 2024, pp. 1810.
DOI Link 2405
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Chen, L.J.[Li-Jie], Wang, Z.[Zhe], Ma, X.G.[Xiao-Gang], Zhao, J.W.[Jing-Wen], Que, X.[Xiang], Liu, J.[Jinfu], Chen, R.H.[Ruo-Hai], Li, Y.M.[Yi-Min],
Empirical Analysis of a Super-SBM-Based Framework for Wetland Carbon Stock Safety Assessment,
RS(16), No. 10, 2024, pp. 1678.
DOI Link 2405
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Zhang, Z.H.[Zhen-Hua], Zhang, S.Q.[Si-Qi], Behrenfeld, M.J.[Michael J.], Chen, P.[Peng], Jamet, C.[Cédric], di Girolamo, P.[Paolo], Dionisi, D.[Davide], Hu, Y.X.[Yong-Xiang], Lu, X.M.[Xiao-Mei], Pan, Y.L.[Yu-Liang], Luo, M.Z.[Min-Zhe], Huang, H.Q.[Hai-Qing], Pan, D.[Delu],
Combining deep learning with physical parameters in POC and PIC inversion from spaceborne lidar CALIOP,
PandRS(212), 2024, pp. 193-211.
Elsevier DOI 2406
Oceanic lidar, Backscattering, Depolarization, Machine learning, Particular carbon standing stock BibRef

Hu, K.[Kai], Zhang, Q.[Qi], Feng, X.Y.[Xin-Yan], Liu, Z.[Ziran], Shao, P.F.[Peng-Fei], Xia, M.[Min], Ye, X.L.[Xiao-Ling],
An Interpolation and Prediction Algorithm for XCO2 Based on Multi-Source Time Series Data,
RS(16), No. 11, 2024, pp. 1907.
DOI Link 2406
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Li, J.[Jie], Jia, K.[Kun], Zhao, L.L.[Lin-Lin], Tao, G.F.[Guo-Feng], Zhao, W.W.[Wen-Wu], Liu, Y.[Yanxu], Yao, Y.J.[Yun-Jun], Zhang, X.T.[Xiao-Tong],
An Improved Gross Primary Production Model Considering Atmospheric CO2 Fertilization: The Qinghai-Tibet Plateau as a Case Study,
RS(16), No. 11, 2024, pp. 1856.
DOI Link 2406
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Li, M.L.[Mao-Lin], Yu, Q.[Qiang], Xu, C.L.[Cheng-Long], Zhao, J.[Jikai], Zeng, Y.F.[Yu-Fan], Wang, Y.[Yu], Liu, Y.L.[Yi-Lin],
Research on the Carbon Sequestration Capacity of Forest Ecological Network Topological Features and Network Optimization Based on Modification Recognition in the Yellow River Basin Mining Area: A Case Study of Jincheng City,
RS(16), No. 11, 2024, pp. 1986.
DOI Link 2406
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Zhao, Y.[Yue], Feng, Y.N.[Yu-Ning], Du, M.Y.[Ming-Yi], Fraedrich, K.[Klaus],
Annual and Seasonal Dynamics of CO2 Emissions in Major Cities of China (2019-2022),
IJGI(13), No. 6, 2024, pp. 181.
DOI Link 2406
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Jiao, J.J.[Jie-Jie], Cheng, Y.[Yan], Hong, P.H.[Ping-Hua], Ma, J.[Jun], Yao, L.J.[Liang-Jin], Jiang, B.[Bo], Xu, X.[Xia], Wu, C.[Chuping],
Impact of Fragmentation on Carbon Uptake in Subtropical Forest Landscapes in Zhejiang Province, China,
RS(16), No. 13, 2024, pp. 2393.
DOI Link 2407
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Lu, D.G.[Dan-Gui], Chen, Y.[Yuan], Feng, Z.K.[Zhong-Ke], Wang, Z.C.[Zhi-Chao],
Assessment of Carbon Sink and Carbon Flux in Forest Ecosystems: Instrumentation and the Influence of Seasonal Changes,
RS(16), No. 13, 2024, pp. 2293.
DOI Link 2407
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Silveira, B.B.[Bruna Barbosa], Cassé, V.[Vincent], Chomette, O.[Olivier], Crevoisier, C.[Cyril],
Improving Error Estimates for Evaluating Satellite-Based Atmospheric CO2 Measurement Concepts through Numerical Simulations,
RS(16), No. 13, 2024, pp. 2452.
DOI Link 2407
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Hua, Y.[Yiying], Zhao, X.S.[Xue-Sheng], Sun, W.B.[Wen-Bin], Sun, Q.W.[Qi-Wen],
Satellite-Based Reconstruction of Atmospheric CO2 Concentration over China Using a Hybrid CNN and Spatiotemporal Kriging Model,
RS(16), No. 13, 2024, pp. 2433.
DOI Link 2407
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Zhao, J.[Jing], Zhao, Q.[Qunqun], Huang, W.J.[Wen-Jiang], Li, G.Q.[Guo-Qing], Wang, T.[Tuo], Mou, N.[Naixia], Yang, T.F.[Teng-Fei],
Advancing Regional-Scale Spatio-Temporal Dynamics of FFCO2 Emissions in Great Bay Area,
RS(16), No. 13, 2024, pp. 2354.
DOI Link 2407
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Li, J.[Jie], Wang, J.L.[Jin-Liang], He, S.[Suling], Liu, C.[Chenli], Liu, L.[Lanfang],
Using Knowledge Graphs to Analyze the Characteristics and Trends of Forest Carbon Storage Research at the Global Scale,
IJGI(13), No. 7, 2024, pp. 234.
DOI Link 2408
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Zhang, Z.P.[Zhi-Peng], Wang, Z.[Zong], Zhang, X.Y.[Xiao-Yuan], Yang, S.J.[Shi-Jie],
Estimation of Spatial-Temporal Dynamic Evolution of Potential Afforestation Land and Its Carbon Sequestration Capacity in China,
RS(16), No. 16, 2024, pp. 3098.
DOI Link 2408
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Zhi, Q.Y.[Qiu-Ying], Hu, X.[Xiaosheng], Wang, P.[Ping], Li, M.[Ming], Ding, Y.[Yi], Wu, Y.X.[Yu-Xuan], Peng, T.T.[Tian-Tian], Li, W.J.[Wen-Jie], Guan, X.[Xiao], Shi, X.M.[Xiao-Ming], Li, J.S.[Jun-Sheng],
Estimation, Spatiotemporal Dynamics, and Driving Factors of Grassland Biomass Carbon Storage Based on Machine Learning Methods: A Case Study of the Hulunbuir Grassland,
RS(16), No. 19, 2024, pp. 3709.
DOI Link 2410
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Wang, Z.[Zhen], Zhong, A.[Anya], Wei, E.[Erhu], Hu, C.M.[Chun-Ming],
Carbon Storage Simulation and Land Use Optimization for High-Water-Table Resource-Based Cities Based on the Coupled GMOP-PLUS-InVEST Model,
RS(16), No. 23, 2024, pp. 4480.
DOI Link 2501
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Song, J.[Jie], He, X.[Xin], Zhang, F.[Fei], Ma, X.[Xu], Jim, C.Y.[Chi Yung], Johnson, B.A.[Brian Alan], Chan, N.W.[Ngai Weng],
Analyzing and Predicting LUCC and Carbon Storage Changes in Xinjiang's Arid Ecosystems Under the Carbon Neutrality Goal,
RS(16), No. 23, 2024, pp. 4439.
DOI Link 2501
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Zhao, L.[Liang], Gao, H.[Hui], Liu, J.T.[Jin-Tong], Wang, F.[Feng], Fu, T.G.[Tong-Gang],
Modeling, Assessment, and Prediction of Carbon Storage in Hebei-Tianjin Coastal Wetlands,
RS(16), No. 23, 2024, pp. 4428.
DOI Link 2501
BibRef

Dong, S.H.[Shu-Heng], Ren, W.X.[Wan-Xia], Dong, X.B.[Xia-Bin], Lei, F.[Fan], Wang, X.C.[Xue-Chao], Xie, L.[Linglin], Zhou, X.[Xiafei],
Decoupling the Impacts of Climate Change and Human Activities on Terrestrial Vegetation Carbon Sink,
RS(16), No. 23, 2024, pp. 4417.
DOI Link 2501
BibRef

Chu, T.K.[Tian-Kuo], Li, J.[Jun], Zhang, C.Y.[Cheng-Ye], Dai, X.O.[Xia-Oai], Qing, Y.K.[Yi-Kun], Huang, H.[Huan], Peng, M.[Manling],
Impact of Land Use Change on Carbon Storage in Complex Terrains: A Case Study of Sichuan-Chongqing, China,
IJGI(13), No. 12, 2024, pp. 428.
DOI Link 2501
BibRef

Zhou, Z.[Zhi], Wu, X.L.[Xue-Ling], Peng, B.[Bo],
An Approach to Predicting Urban Carbon Stock Using a Self-Attention Convolutional Long Short-Term Memory Network Model: A Case Study in Wuhan Urban Circle,
RS(16), No. 23, 2024, pp. 4372.
DOI Link 2501
BibRef


Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Soil Heavy Metal Contamination .


Last update:Jan 20, 2025 at 11:36:25