These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
152 related articles for article (PubMed ID: 25558360)
1. MODISTools - downloading and processing MODIS remotely sensed data in R. Tuck SL; Phillips HR; Hintzen RE; Scharlemann JP; Purvis A; Hudson LN Ecol Evol; 2014 Dec; 4(24):4658-68. PubMed ID: 25558360 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product. Wang Z; Schaaf CB; Sun Q; Kim J; Erb AM; Gao F; Román MO; Yang Y; Petroy S; Taylor JR; Masek JG; Morisette JT; Zhang X; Papuga SA Int J Appl Earth Obs Geoinf; 2017 Jul; 59():104-117. PubMed ID: 33154713 [TBL] [Abstract][Full Text] [Related]
4. [Comparison of GIMMS and MODIS normalized vegetation index composite data for Qing-Hai-Tibet Plateau]. Du JQ; Shu JM; Wang YH; Li YC; Zhang LB; Guo Y Ying Yong Sheng Tai Xue Bao; 2014 Feb; 25(2):533-44. PubMed ID: 24830255 [TBL] [Abstract][Full Text] [Related]
5. Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data. Scharlemann JP; Benz D; Hay SI; Purse BV; Tatem AJ; Wint GR; Rogers DJ PLoS One; 2008 Jan; 3(1):e1408. PubMed ID: 18183289 [TBL] [Abstract][Full Text] [Related]
6. Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement. Neumann W; Martinuzzi S; Estes AB; Pidgeon AM; Dettki H; Ericsson G; Radeloff VC Mov Ecol; 2015; 3(1):8. PubMed ID: 25941571 [TBL] [Abstract][Full Text] [Related]
7. Comparative analysis of remotely-sensed data products via ecological niche modeling of avian influenza case occurrences in Middle Eastern poultry. Bodbyl-Roels S; Peterson AT; Xiao X Int J Health Geogr; 2011 Mar; 10():21. PubMed ID: 21443769 [TBL] [Abstract][Full Text] [Related]
8. Breaks in MODIS time series portend vegetation change: verification using long-term data in an arid grassland ecosystem. Browning DM; Maynard JJ; Karl JW; Peters DC Ecol Appl; 2017 Jul; 27(5):1677-1693. PubMed ID: 28423459 [TBL] [Abstract][Full Text] [Related]
9. Forecasting wheat and barley crop production in arid and semi-arid regions using remotely sensed primary productivity and crop phenology: A case study in Iraq. Qader SH; Dash J; Atkinson PM Sci Total Environ; 2018 Feb; 613-614():250-262. PubMed ID: 28915461 [TBL] [Abstract][Full Text] [Related]
10. Seasonal patterns of canopy photosynthesis captured by remotely sensed sun-induced fluorescence and vegetation indexes in mid-to-high latitude forests: A cross-platform comparison. Lu X; Cheng X; Li X; Chen J; Sun M; Ji M; He H; Wang S; Li S; Tang J Sci Total Environ; 2018 Dec; 644():439-451. PubMed ID: 29981994 [TBL] [Abstract][Full Text] [Related]
11. Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors. Lange M; Dechant B; Rebmann C; Vohland M; Cuntz M; Doktor D Sensors (Basel); 2017 Aug; 17(8):. PubMed ID: 28800065 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Bulk Processing of Multi-Temporal Modis Data, Statistical Analyses and Machine Learning Algorithms to Understand Climate Variables in the Indian Himalayan Region. Haq MA; Baral P; Yaragal S; Pradhan B Sensors (Basel); 2021 Nov; 21(21):. PubMed ID: 34770722 [TBL] [Abstract][Full Text] [Related]
15. Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters. Rajib A; Evenson GR; Golden HE; Lane CR J Hydrol (Amst); 2018; 567():668-683. PubMed ID: 31395990 [TBL] [Abstract][Full Text] [Related]
16. A high-resolution approach to estimating ecosystem respiration at continental scales using operational satellite data. Jägermeyr J; Gerten D; Lucht W; Hostert P; Migliavacca M; Nemani R Glob Chang Biol; 2014 Apr; 20(4):1191-210. PubMed ID: 24259306 [TBL] [Abstract][Full Text] [Related]
18. Monitoring vegetation change and dynamics on U.S. Army training lands using satellite image time series analysis. Hutchinson JMS; Jacquin A; Hutchinson SL; Verbesselt J J Environ Manage; 2015 Mar; 150():355-366. PubMed ID: 25441663 [TBL] [Abstract][Full Text] [Related]
19. Scaling estimates of vegetation structure in Amazonian tropical forests using multi-angle MODIS observations. de Moura YM; Hilker T; Goncalves FG; Galvão LS; Dos Santos JR; Lyapustin A; Maeda EE; de Jesus Silva CV Int J Appl Earth Obs Geoinf; 2016 Oct; 52():580-590. PubMed ID: 29618964 [TBL] [Abstract][Full Text] [Related]
20. Productivity and phenological responses of natural vegetation to present and future inter-annual climate variability across semi-arid river basins in Chile. Glade FE; Miranda MD; Meza FJ; van Leeuwen WJ Environ Monit Assess; 2016 Dec; 188(12):676. PubMed ID: 27858259 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]