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Park, Jin Han, Gan, Jianbang, Park, Chan (2021) Discrepancies between Global Forest Net Primary Productivity Estimates Derived from MODIS and Forest Inventory Data and Underlying Factors. Remote Sensing, 13 (8). doi:10.3390/rs13081441

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Reference TypeJournal (article/letter/editorial)
TitleDiscrepancies between Global Forest Net Primary Productivity Estimates Derived from MODIS and Forest Inventory Data and Underlying Factors
JournalRemote Sensing
AuthorsPark, Jin HanAuthor
Gan, JianbangAuthor
Park, ChanAuthor
Year2021 (April 8)Volume13
Issue8
PublisherMDPI AG
DOIdoi:10.3390/rs13081441Search in ResearchGate
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Mindat Ref. ID17790744Long-form Identifiermindat:1:5:17790744:1
GUID0
Full ReferencePark, Jin Han, Gan, Jianbang, Park, Chan (2021) Discrepancies between Global Forest Net Primary Productivity Estimates Derived from MODIS and Forest Inventory Data and Underlying Factors. Remote Sensing, 13 (8). doi:10.3390/rs13081441
Plain TextPark, Jin Han, Gan, Jianbang, Park, Chan (2021) Discrepancies between Global Forest Net Primary Productivity Estimates Derived from MODIS and Forest Inventory Data and Underlying Factors. Remote Sensing, 13 (8). doi:10.3390/rs13081441
In(2021, April) Remote Sensing Vol. 13 (8). MDPI AG

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Hu, Tianyu, Su, Yanjun, Xue, Baolin, Liu, Jin, Zhao, Xiaoqian, Fang, Jingyun, Guo, Qinghua (2016) Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data. Remote Sensing, 8 (7). doi:10.3390/rs8070565
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Coops, N. C., White§, J. D., Scott¶, N. A. (2004) Estimating fragmentation effects on simulated forest net primary productivity derived from satellite imagery. International Journal of Remote Sensing, 25 (4). doi:10.1080/0143116031000115094
Chen, Shanshan, Wen, Zhaofei, Ma, Maohua, Wu, Shengjun (2021) Disentangling Climatic Factors and Human Activities in Governing the Old and New Forest Productivity. Remote Sensing, 13 (18). doi:10.3390/rs13183746
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Piao, Yong, Jeong, Seunggyu, Park, Sangjin, Lee, Dongkun (2021) Analysis of Land Use and Land Cover Change Using Time-Series Data and Random Forest in North Korea. Remote Sensing, 13 (17). doi:10.3390/rs13173501
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