100 related articles for article (PubMed ID: 27873869)
1. A New Method to Define the VI-Ts Diagram Using Subpixel Vegetation and Soil Information: A Case Study over a Semiarid Agricultural Region in the North China Plain.
Sun Z; Wang Q; Matsushita B; Fukushima T; Ouyang Z; Watanabe M
Sensors (Basel); 2008 Oct; 8(10):6260-6279. PubMed ID: 27873869
[TBL] [Abstract][Full Text] [Related]
2. [A Novel Method of Soil Moisture Content Monitoring by Land Surface Temperature and LAI].
Gao ZL; Zheng XP; Sun YJ; Wang JH
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Nov; 35(11):3129-33. PubMed ID: 26978922
[TBL] [Abstract][Full Text] [Related]
3. An efficient approach for pixel decomposition to increase the spatial resolution of land surface temperature images from MODIS thermal infrared band data.
Wang F; Qin Z; Li W; Song C; Karnieli A; Zhao S
Sensors (Basel); 2014 Dec; 15(1):304-30. PubMed ID: 25609048
[TBL] [Abstract][Full Text] [Related]
4. [Evaluating the performance of the UCLA method for spatially downscaling soil moisture products using three Ts/VI indices].
Ling ZW; He LB; Zeng H
Ying Yong Sheng Tai Xue Bao; 2014 Feb; 25(2):545-52. PubMed ID: 24830256
[TBL] [Abstract][Full Text] [Related]
5. A Wetness Index Using Terrain-Corrected Surface Temperature and Normalized Difference Vegetation Index Derived from Standard MODIS Products: An Evaluation of Its Use in a Humid Forest-Dominated Region of Eastern Canada.
Hassan QK; Bourque CP; Meng FR; Cox RM
Sensors (Basel); 2007 Oct; 7(10):2028-2048. PubMed ID: 28903212
[TBL] [Abstract][Full Text] [Related]
6. [The relationship between the variation rate of MODIS land surface temperature and AMSR-E soil moisture and its application to downscaling].
Wang AQ; Xie C; Shi JC; Gong HL
Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Mar; 33(3):623-7. PubMed ID: 23705420
[TBL] [Abstract][Full Text] [Related]
7. Reducing the Discrepancy Between ASTER and MODIS Land Surface Temperature Products.
Liu Y; Yamaguchi Y; Ke C
Sensors (Basel); 2007 Dec; 7(12):3043-3057. PubMed ID: 28903278
[TBL] [Abstract][Full Text] [Related]
8. Long-Term Spatiotemporal Variations in Soil Moisture in North East China Based on 1-km Resolution Downscaled Passive Microwave Soil Moisture Products.
Meng X; Mao K; Meng F; Shen X; Xu T; Cao M
Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31409020
[TBL] [Abstract][Full Text] [Related]
9. Inter-Comparison of ASTER and MODIS Surface Reflectance and Vegetation Index Products for Synergistic Applications to Natural Resource Monitoring.
Miura T; Yoshioka H; Fujiwara K; Yamamoto H
Sensors (Basel); 2008 Apr; 8(4):2480-2499. PubMed ID: 27879830
[TBL] [Abstract][Full Text] [Related]
10. Generating daily high spatial land surface temperatures by combining ASTER and MODIS land surface temperature products for environmental process monitoring.
Wu M; Li H; Huang W; Niu Z; Wang C
Environ Sci Process Impacts; 2015 Aug; 17(8):1396-404. PubMed ID: 26165141
[TBL] [Abstract][Full Text] [Related]
11. Toward High-Resolution Soil Moisture Monitoring by Combining Active-Passive Microwave and Optical Vegetation Remote Sensing Products with Land Surface Model.
Toride K; Sawada Y; Aida K; Koike T
Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31514458
[TBL] [Abstract][Full Text] [Related]
12. [Impact of moss soil crust on vegetation indexes interpretation].
Fang SB; Zhang XS
Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Mar; 31(3):780-3. PubMed ID: 21595239
[TBL] [Abstract][Full Text] [Related]
13. Discrepancy Between ASTER- and MODIS- Derived Land Surface Temperatures: Terrain Effects.
Liu Y; Noumi Y; Yamaguchi Y
Sensors (Basel); 2009; 9(2):1054-66. PubMed ID: 22399955
[TBL] [Abstract][Full Text] [Related]
14. Applicability of VI in arid vegetation delineation using shadow-affected SPOT imagery.
Gunasekara NK; Al-Wardy MM; Al-Rawas GA; Charabi Y
Environ Monit Assess; 2015 Jul; 187(7):454. PubMed ID: 26093893
[TBL] [Abstract][Full Text] [Related]
15. Two Improvements of an Operational Two-Layer Model for Terrestrial Surface Heat Flux Retrieval.
Zhang R; Tian J; Su H; Sun X; Chen S; Xia J
Sensors (Basel); 2008 Oct; 8(10):6165-6187. PubMed ID: 27873864
[TBL] [Abstract][Full Text] [Related]
16. [An improved method and its application for agricultural drought monitoring based on remote sensing].
Zheng YF; Cheng JX; Wu RJ; Guan FL; Yao SR
Ying Yong Sheng Tai Xue Bao; 2013 Sep; 24(9):2608-18. PubMed ID: 24417121
[TBL] [Abstract][Full Text] [Related]
17. [Evaluating the utility of MODIS vegetation index for monitoring agricultural drought].
Li HP; Zhang SQ; Gao ZQ; Sun Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Mar; 33(3):756-61. PubMed ID: 23705448
[TBL] [Abstract][Full Text] [Related]
18. The effects of land use and its patterns on soil properties in a small catchment of the Loess Plateau.
Wang J; Fu BJ; Qiu Y; Chen LD
J Environ Sci (China); 2003 Mar; 15(2):263-6. PubMed ID: 12765269
[TBL] [Abstract][Full Text] [Related]
19. [Vegetation above-ground biomass and its affecting factors in water/wind erosion crisscross region on Loess Plateau].
Wang JG; Fan J; Wang QJ; Wang L
Ying Yong Sheng Tai Xue Bao; 2011 Mar; 22(3):556-64. PubMed ID: 21657007
[TBL] [Abstract][Full Text] [Related]
20. Assessment of MODIS-EVI, MODIS-NDVI and VEGETATION-NDVI composite data using agricultural measurements: an example at corn fields in western Mexico.
Chen PY; Fedosejevs G; Tiscareño-López M; Arnold JG
Environ Monit Assess; 2006 Aug; 119(1-3):69-82. PubMed ID: 16362566
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
