394 related articles for article (PubMed ID: 31107026)
1. [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]
2. [Forest canopy leaf area index in Maoershan Mountain: ground measurement and remote sensing retrieval].
Zhu GL; Ju WM; Jm C; Fan WY; Zhou YL; Li XF; Li MZ
Ying Yong Sheng Tai Xue Bao; 2010 Aug; 21(8):2117-24. PubMed ID: 21043124
[TBL] [Abstract][Full Text] [Related]
3. Chlorophyll content retrieval from hyperspectral remote sensing imagery.
Yang X; Yu Y; Fan W
Environ Monit Assess; 2015 Jul; 187(7):456. PubMed ID: 26095901
[TBL] [Abstract][Full Text] [Related]
4. Forest biomass estimation using remote sensing and field inventory: a case study of Tripura, India.
Pandey PC; Srivastava PK; Chetri T; Choudhary BK; Kumar P
Environ Monit Assess; 2019 Aug; 191(9):593. PubMed ID: 31456055
[TBL] [Abstract][Full Text] [Related]
5. Forest tree species identification and its response to spatial scale based on multispectral and multi-resolution remotely sensed data.
Xu KJ; Tian QJ; Yue JB; Tang SF
Ying Yong Sheng Tai Xue Bao; 2018 Dec; 29(12):3986-3994. PubMed ID: 30584725
[TBL] [Abstract][Full Text] [Related]
6. [Comparison of precision in retrieving soybean leaf area index based on multi-source remote sensing data].
Gao L; Li CC; Wang BS; Yang Gui-jun ; Wang L; Fu K
Ying Yong Sheng Tai Xue Bao; 2016 Jan; 27(1):191-200. PubMed ID: 27228609
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Influence of automatic exposure on the estimation of seasonal variations in leaf area index measured by digital hemispherical photograph.
Yuan ZH; Jin GZ; Liu ZL
Ying Yong Sheng Tai Xue Bao; 2018 Dec; 29(12):4004-4012. PubMed ID: 30584727
[TBL] [Abstract][Full Text] [Related]
9. [The study of LAI estimation using a new vegetation index based on CHRIS data].
Wang LJ; Niu Z; Hou XH; Gao S
Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Apr; 33(4):1082-6. PubMed ID: 23841433
[TBL] [Abstract][Full Text] [Related]
10. A new multiscale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field, and landscape.
Lausch A; Pause M; Merbach I; Zacharias S; Doktor D; Volk M; Seppelt R
Environ Monit Assess; 2013 Feb; 185(2):1215-35. PubMed ID: 22527462
[TBL] [Abstract][Full Text] [Related]
11. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.
Paciorek CJ; Liu Y;
Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
[TBL] [Abstract][Full Text] [Related]
12. Application of a new leaf area index algorithm to China's landmass using MODIS data for carbon cycle research.
Liu R; Chen JM; Liu J; Deng F; Sun R
J Environ Manage; 2007 Nov; 85(3):649-58. PubMed ID: 17123698
[TBL] [Abstract][Full Text] [Related]
13. Combining remote sensing imagery and forest age inventory for biomass mapping.
Zheng G; Chen JM; Tian QJ; Ju WM; Xia XQ
J Environ Manage; 2007 Nov; 85(3):616-23. PubMed ID: 17134821
[TBL] [Abstract][Full Text] [Related]
14. [Retrieval of leaf area index of moso bamboo forest with Landsat Thematic Mapper image based on PROSAIL canopy radiative transfer model].
Gu CY; Du HQ; Zhou GM; Han N; Xu XJ; Zhao X; Sun XY
Ying Yong Sheng Tai Xue Bao; 2013 Aug; 24(8):2248-56. PubMed ID: 24380345
[TBL] [Abstract][Full Text] [Related]
15. Response of the regression tree model to high resolution remote sensing data for predicting percent tree cover in a Mediterranean ecosystem.
Donmez C; Berberoglu S; Erdogan MA; Tanriover AA; Cilek A
Environ Monit Assess; 2015 Feb; 187(2):4. PubMed ID: 25604062
[TBL] [Abstract][Full Text] [Related]
16. Tracking forest phenology and seasonal physiology using digital repeat photography: a critical assessment.
Keenan TF; Darby B; Felts E; Sonnentag O; Friedl MA; Hufkens K; O'Keef J; Klosterman S; Munger JW; Toome M; Richardson AD
Ecol Appl; 2014; 24(6):1478-89. PubMed ID: 29160668
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Estimation of leaf area index using WorldView-2 and Aster satellite image: a case study from Turkey.
Günlü A; Keleş S; Ercanlı İ; Şenyurt M
Environ Monit Assess; 2017 Oct; 189(11):538. PubMed ID: 28980089
[TBL] [Abstract][Full Text] [Related]
19. Scale Effect of Land Cover Classification from Multi-Resolution Satellite Remote Sensing Data.
Li R; Gao X; Shi F; Zhang H
Sensors (Basel); 2023 Jul; 23(13):. PubMed ID: 37447985
[TBL] [Abstract][Full Text] [Related]
20. Spatial Heterogeneity of Leaf Area Index (LAI) and Its Temporal Course on Arable Land: Combining Field Measurements, Remote Sensing and Simulation in a Comprehensive Data Analysis Approach (CDAA).
Reichenau TG; Korres W; Montzka C; Fiener P; Wilken F; Stadler A; Waldhoff G; Schneider K
PLoS One; 2016; 11(7):e0158451. PubMed ID: 27391858
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
