117 related articles for article (PubMed ID: 37972784)
21. [Variation of leaf area index estimation in forests based on remote sensing images of different spatial scales.].
Liu T; Chen C; Fan WY; Mao XG; Yu Y
Ying Yong Sheng Tai Xue Bao; 2019 May; 30(5):1687-1698. PubMed ID: 31107026
[TBL] [Abstract][Full Text] [Related]
22. Spatiotemporal dynamics of grassland aboveground biomass on the Qinghai-Tibet Plateau based on validated MODIS NDVI.
Liu S; Cheng F; Dong S; Zhao H; Hou X; Wu X
Sci Rep; 2017 Jun; 7(1):4182. PubMed ID: 28646198
[TBL] [Abstract][Full Text] [Related]
23. Spatially and temporally continuous LAI datasets based on the mixed pixel decomposition method.
Zhao J; Wang Y; Zhang H; Zhang Z; Guo X; Yu S; Du W
Springerplus; 2016; 5():516. PubMed ID: 27186480
[TBL] [Abstract][Full Text] [Related]
24. Spatiotemporal dynamics of grassland aboveground biomass and its driving factors in North China over the past 20 years.
Ge J; Hou M; Liang T; Feng Q; Meng X; Liu J; Bao X; Gao H
Sci Total Environ; 2022 Jun; 826():154226. PubMed ID: 35240176
[TBL] [Abstract][Full Text] [Related]
25. Estimating Grassland Carbon Stocks in Hulunber China, Using Landsat8 Oli Imagery and Regression Kriging.
Ding L; Li Z; Wang X; Yan R; Shen B; Chen B; Xin X
Sensors (Basel); 2019 Dec; 19(24):. PubMed ID: 31817509
[TBL] [Abstract][Full Text] [Related]
26. On the detectability of adjacency effects in ocean color remote sensing of mid-latitude coastal environments by SeaWiFS, MODIS-A, MERIS, OLCI, OLI and MSI.
Bulgarelli B; Zibordi G
Remote Sens Environ; 2018 May; 209():423-438. PubMed ID: 29725142
[TBL] [Abstract][Full Text] [Related]
27. Bayesian spatial modelling of geostatistical data using INLA and SPDE methods: A case study predicting malaria risk in Mozambique.
Moraga P; Dean C; Inoue J; Morawiecki P; Noureen SR; Wang F
Spat Spatiotemporal Epidemiol; 2021 Nov; 39():100440. PubMed ID: 34774255
[TBL] [Abstract][Full Text] [Related]
28. Improving the Prediction of African Savanna Vegetation Variables Using Time Series of MODIS Products.
Tsalyuk M; Kelly M; Getz WM
ISPRS J Photogramm Remote Sens; 2017 Sep; 131():77-91. PubMed ID: 30739997
[TBL] [Abstract][Full Text] [Related]
29. Hybrid inversion of radiative transfer models based on high spatial resolution satellite reflectance data improves fractional vegetation cover retrieval in heterogeneous ecological systems after fire.
Fernández-Guisuraga JM; Verrelst J; Calvo L; Suárez-Seoane S
Remote Sens Environ; 2021 Mar; 255():. PubMed ID: 36081599
[TBL] [Abstract][Full Text] [Related]
30. Estimation of aboveground biomass of senescence grassland in China's arid region using multi-source data.
Zhou J; Zhang R; Guo J; Dai J; Zhang J; Zhang L; Miao Y
Sci Total Environ; 2024 Mar; 918():170602. PubMed ID: 38325448
[TBL] [Abstract][Full Text] [Related]
31. A novel moisture adjusted vegetation index (MAVI) to reduce background reflectance and topographical effects on LAI retrieval.
Zhu G; Ju W; Chen JM; Liu Y
PLoS One; 2014; 9(7):e102560. PubMed ID: 25025128
[TBL] [Abstract][Full Text] [Related]
32. Evaluation of Sentinel-2 red-edge bands for empirical estimation of green LAI and chlorophyll content.
Delegido J; Verrelst J; Alonso L; Moreno J
Sensors (Basel); 2011; 11(7):7063-81. PubMed ID: 22164004
[TBL] [Abstract][Full Text] [Related]
33. Joint Assimilation of Leaf Area Index and Soil Moisture from Sentinel-1 and Sentinel-2 Data into the WOFOST Model for Winter Wheat Yield Estimation.
Pan H; Chen Z; Allard W; Ren J
Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31323829
[TBL] [Abstract][Full Text] [Related]
34. Ground and remote sensing-based measurements of leaf area index in a transitional forest and seasonal flooded forest in Brazil.
Biudes MS; Machado NG; Danelichen VH; Souza MC; Vourlitis GL; Nogueira Jde S
Int J Biometeorol; 2014 Aug; 58(6):1181-93. PubMed ID: 23943204
[TBL] [Abstract][Full Text] [Related]
35. Improved estimation of aboveground biomass of regional coniferous forests integrating UAV-LiDAR strip data, Sentinel-1 and Sentinel-2 imageries.
Wang Y; Jia X; Chai G; Lei L; Zhang X
Plant Methods; 2023 Jun; 19(1):65. PubMed ID: 37391772
[TBL] [Abstract][Full Text] [Related]
36. LAI estimation based on physical model combining airborne LiDAR waveform and Sentinel-2 imagery.
Shi Z; Shi S; Gong W; Xu L; Wang B; Sun J; Chen B; Xu Q
Front Plant Sci; 2023; 14():1237988. PubMed ID: 37841611
[TBL] [Abstract][Full Text] [Related]
37. Improved forest dynamics leads to better hydrological predictions in watershed modeling.
Haas H; Kalin L; Srivastava P
Sci Total Environ; 2022 May; 821():153180. PubMed ID: 35051464
[TBL] [Abstract][Full Text] [Related]
38. [Impact of Vegetation Structure on Drought Indices Based on MODIS Spectrum].
Du LT; Tian QJ; Wang L
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Apr; 35(4):982-6. PubMed ID: 26197587
[TBL] [Abstract][Full Text] [Related]
39. The rectangular tile classification model based on Sentinel integrated images enhances grassland mapping accuracy: A case study in Ordos, China.
Guo F; Fan L; Chen W; Xiao D; Niu H
PLoS One; 2024; 19(4):e0301444. PubMed ID: 38626150
[TBL] [Abstract][Full Text] [Related]
40. Spatial Structure of Above-Ground Biomass Limits Accuracy of Carbon Mapping in Rainforest but Large Scale Forest Inventories Can Help to Overcome.
Guitet S; Hérault B; Molto Q; Brunaux O; Couteron P
PLoS One; 2015; 10(9):e0138456. PubMed ID: 26402522
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]