| Year |
Citation |
Score |
| 2021 |
Vermote E, Justice C, Claverie M, Franch B. Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product. Remote Sensing of Environment. 46-56. PMID 32020955 DOI: 10.1016/j.rse.2016.04.008 |
0.408 |
|
| 2019 |
Li Z, Roy DP, Zhang HK, Vermote EF, Huang H. Evaluation of Landsat-8 and Sentinel-2A aerosol optical depth retrievals across Chinese cities and implications for medium spatial resolution urban aerosol monitoring. Remote Sensing. 11. PMID 32021701 DOI: 10.3390/rs11020122 |
0.312 |
|
| 2019 |
Wulder MA, Loveland TR, Roy DP, Crawford CJ, Masek JG, Woodcock CE, Allen RG, Anderson MC, Belward AS, Cohen WB, Dwyer J, Erb A, Gao F, Griffiths P, Helder D, ... ... Vermote E, et al. Current status of Landsat program, science, and applications Remote Sensing of Environment. 225: 127-147. DOI: 10.1016/J.Rse.2019.02.015 |
0.367 |
|
| 2019 |
Kuhn C, Valerio AdM, Ward N, Loken L, Sawakuchi HO, Kampel M, Richey J, Stadler P, Crawford J, Striegl R, Vermote E, Pahlevan N, Butman D. Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity Remote Sensing of Environment. 224: 104-118. DOI: 10.1016/J.Rse.2019.01.023 |
0.342 |
|
| 2018 |
Skakun S, Justice CO, Vermote E, Roger JC. Transitioning from MODIS to VIIRS: an analysis of inter-consistency of NDVI data sets for agricultural monitoring. International Journal of Remote Sensing. 39: 971-992. PMID 29892137 DOI: 10.1080/01431161.2017.1395970 |
0.468 |
|
| 2018 |
Franch B, Vermote E, Skakun S, Roger J, Santamaria-Artigas A, Villaescusa-Nadal JL, Masek J. Toward Landsat and Sentinel-2 BRDF Normalization and Albedo Estimation: A Case Study in the Peruvian Amazon Forest Frontiers in Earth Science. 6: 185. DOI: 10.3389/Feart.2018.00185 |
0.479 |
|
| 2018 |
Zhang HK, Roy DP, Yan L, Li Z, Huang H, Vermote E, Skakun S, Roger J. Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences Remote Sensing of Environment. 215: 482-494. DOI: 10.1016/J.Rse.2018.04.031 |
0.452 |
|
| 2017 |
Stratoulias D, Tolpekin V, de By RA, Zurita-Milla R, Retsios V, Bijker W, Alfi Hasan M, Vermote E. A Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture. Remote Sensing. 9: 1048. PMID 32704488 DOI: 10.3390/rs9101048 |
0.319 |
|
| 2017 |
Franch B, Vermote EF, Roger JC, Murphy E, Becker-Reshef I, Justice C, Claverie M, Nagol J, Csiszar I, Meyer D, Baret F, Masuoka E, Wolfe R, Devadiga S. A 30+ year AVHRR Land Surface Reflectance Climate Data Record and its application to wheat yield monitoring. Remote Sensing. PMID 32021703 DOI: 10.3390/Rs9030296 |
0.436 |
|
| 2017 |
Skakun S, Vermote E, Roger JC, Justice C. Multi-spectral misregistration of Sentinel-2A images: analysis and implications for potential applications. Ieee Geoscience and Remote Sensing Letters : a Publication of the Ieee Geoscience and Remote Sensing Society. 14: 2408-2412. PMID 29893382 DOI: 10.1109/Lgrs.2017.2766448 |
0.33 |
|
| 2017 |
Skakun S, Vermote E, Roger JC, Franch B. Combined use of Landsat-8 and Sentinel-2A images for winter crop mapping and winter wheat yield assessment at regional scale. Aims Geosciences. 3: 163-186. PMID 29888751 DOI: 10.3934/geosci.2017.2.163 |
0.314 |
|
| 2017 |
Pahlevan N, Sarkar S, Devadiga S, Wolfe RE, Roman M, Vermote E, Lin G, Xiong X. Impact of Spatial Sampling on Continuity of MODIS–VIIRS Land Surface Reflectance Products: A Simulation Approach Ieee Transactions On Geoscience and Remote Sensing. 55: 183-196. DOI: 10.1109/Tgrs.2016.2604214 |
0.456 |
|
| 2017 |
Skakun S, Franch B, Vermote E, Roger J, Becker-Reshef I, Justice C, Kussul N. Early season large-area winter crop mapping using MODIS NDVI data, growing degree days information and a Gaussian mixture model Remote Sensing of Environment. 195: 244-258. DOI: 10.1016/J.Rse.2017.04.026 |
0.451 |
|
| 2016 |
Claverie M, Matthews JL, Vermote EF, Justice CO. A 30+ year AVHRR LAI and FAPAR climate data record: Algorithm description and validation Remote Sensing. 8. DOI: 10.3390/Rs8030263 |
0.386 |
|
| 2015 |
Claverie M, Vermote E, Franch B, He T, Hagolle O, Kadiri M, Masek J. Evaluation of medium spatial resolution BRDF-adjustment techniques using multi-angular SPOT4 (Take5) acquisitions Remote Sensing. 7: 12057-12075. DOI: 10.3390/rs70912057 |
0.312 |
|
| 2015 |
Bréon FM, Vermote E, Murphy EF, Franch B. Measuring the Directional Variations of Land Surface Reflectance from MODIS Ieee Transactions On Geoscience and Remote Sensing. 53: 4638-4649. DOI: 10.1109/Tgrs.2015.2405344 |
0.433 |
|
| 2015 |
Vermote E, Justice C, Claverie M, Franch B. Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product Remote Sensing of Environment. DOI: 10.1016/J.Rse.2016.04.008 |
0.49 |
|
| 2015 |
Claverie M, Vermote EF, Franch B, Masek JG. Evaluation of the Landsat-5 TM and Landsat-7 ETM+ surface reflectance products Remote Sensing of Environment. 169: 390-403. DOI: 10.1016/j.rse.2015.08.030 |
0.419 |
|
| 2015 |
Whitcraft AK, Vermote EF, Becker-Reshef I, Justice CO. Cloud cover throughout the agricultural growing season: Impacts on passive optical earth observations Remote Sensing of Environment. 156: 438-447. DOI: 10.1016/J.Rse.2014.10.009 |
0.371 |
|
| 2014 |
Morton DC, Nagol J, Carabajal CC, Rosette J, Palace M, Cook BD, Vermote EF, Harding DJ, North PR. Amazon forests maintain consistent canopy structure and greenness during the dry season. Nature. 506: 221-4. PMID 24499816 DOI: 10.1038/Nature13006 |
0.345 |
|
| 2014 |
Nagol JR, Vermote EF, Prince SD. Quantification of impact of orbital drift on inter-annual trends in AVHRR NDVI data Remote Sensing. 6: 6680-6687. DOI: 10.3390/Rs6076680 |
0.397 |
|
| 2014 |
Franch B, Vermote EF, Sobrino JA, Julien Y. Retrieval of surface albedo on a daily basis: Application to MODIS data Ieee Transactions On Geoscience and Remote Sensing. 52: 7549-7558. DOI: 10.1109/TGRS.2014.2313842 |
0.341 |
|
| 2014 |
Yeo IY, Lang M, Vermote E. Improved understanding of suspended sediment transport process using multioral landsat data: A case study from the old woman creek Estuary (Ohio) Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7: 636-647. DOI: 10.1109/Jstars.2013.2265191 |
0.344 |
|
| 2014 |
Franch B, Vermote EF, Claverie M. Intercomparison of Landsat albedo retrieval techniques and evaluation against in situ measurements across the US SURFRAD network Remote Sensing of Environment. 152: 627-637. DOI: 10.1016/j.rse.2014.07.019 |
0.376 |
|
| 2014 |
Vermote E, Justice C, Csiszar I. Early evaluation of the VIIRS calibration, cloud mask and surface reflectance Earth data records Remote Sensing of Environment. 148: 134-145. DOI: 10.1016/J.Rse.2014.03.028 |
0.474 |
|
| 2014 |
Roy DP, Wulder MA, Loveland TR, C.E. W, Allen RG, Anderson MC, Helder D, Irons JR, Johnson DM, Kennedy R, Scambos TA, Schaaf CB, Schott JR, Sheng Y, Vermote EF, et al. Landsat-8: Science and product vision for terrestrial global change research Remote Sensing of Environment. 145: 154-172. DOI: 10.1016/J.Rse.2014.02.001 |
0.419 |
|
| 2014 |
Roy DP, Qin Y, Kovalskyy V, Vermote EF, Ju J, Egorov A, Hansen MC, Kommareddy I, Yan L. Conterminous United States demonstration and characterization of MODIS-based Landsat ETM+ atmospheric correction Remote Sensing of Environment. 140: 433-449. DOI: 10.1016/J.Rse.2013.09.012 |
0.345 |
|
| 2014 |
Nagol JR, Sexton JO, Kim DH, Anand A, Morton D, Vermote E, Townshend JR. Bidirectional effects in Landsat reflectance estimates: Is there a problem to solve? Isprs Journal of Photogrammetry and Remote Sensing. 103: 129-135. DOI: 10.1016/J.Isprsjprs.2014.09.006 |
0.477 |
|
| 2013 |
Justice CO, Román MO, Csiszar I, Vermote EF, Wolfe RE, Hook SJ, Friedl M, Wang Z, Schaaf CB, Miura T, Tschudi M, Riggs G, Hall DK, Lyapustin AI, Devadiga S, et al. Land and cryosphere products from Suomi NPP VIIRS: Overview and status. Journal of Geophysical Research. Atmospheres : Jgr. 118: 9753-9765. PMID 25821661 DOI: 10.1002/Jgrd.50771 |
0.343 |
|
| 2013 |
Verger A, Baret F, Weiss M, Kandasamy S, Vermote E. The CACAO method for smoothing, gap filling, and characterizing seasonal anomalies in satellite time series Ieee Transactions On Geoscience and Remote Sensing. 51: 1963-1972. DOI: 10.1109/Tgrs.2012.2228653 |
0.403 |
|
| 2013 |
Vadrevu KP, Csiszar I, Ellicott E, Giglio L, Badarinath KVS, Vermote E, Justice C. Hotspot analysis of vegetation fires and intensity in the Indian region Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6: 224-238. DOI: 10.1109/Jstars.2012.2210699 |
0.402 |
|
| 2013 |
Sobrino JA, Franch B, Oltra-Carrió R, Vermote EF, Fedele E. Evaluation of the MODIS Albedo product over a heterogeneous agricultural area International Journal of Remote Sensing. 34: 5530-5540. DOI: 10.1080/01431161.2013.792968 |
0.355 |
|
| 2013 |
O'Connell J, Connolly J, Vermote EF, Holden NM. Radiometric normalization for change detection in peatlands: A modified temporal invariant cluster approach International Journal of Remote Sensing. 34: 2905-2924. DOI: 10.1080/01431161.2012.752886 |
0.342 |
|
| 2013 |
Claverie M, Vermote EF, Weiss M, Baret F, Hagolle O, Demarez V. Validation of coarse spatial resolution LAI and FAPAR time series over cropland in southwest France Remote Sensing of Environment. 139: 216-230. DOI: 10.1016/j.rse.2013.07.027 |
0.354 |
|
| 2013 |
Feng M, Sexton JO, Huang C, Masek JG, Vermote EF, Gao F, Narasimhan R, Channan S, Wolfe RE, Townshend JR. Global surface reflectance products from Landsat: Assessment using coincident MODIS observations Remote Sensing of Environment. 134: 276-293. DOI: 10.1016/J.Rse.2013.02.031 |
0.434 |
|
| 2013 |
Franch B, Vermote EF, Sobrino JA, Fédèle E. Analysis of directional effects on atmospheric correction Remote Sensing of Environment. 128: 276-288. DOI: 10.1016/j.rse.2012.10.018 |
0.393 |
|
| 2012 |
Samanta A, Ganguly S, Vermote E, Nemani RR, Myneni RB. Why Is Remote Sensing of Amazon Forest Greenness So Challenging? Earth Interactions. 16: 1-14. DOI: 10.1175/2012Ei440.1 |
0.501 |
|
| 2012 |
Samanta A, Ganguly S, Vermote E, Nemani RR, Myneni RB. Interpretation of variations in MODIS-measured greenness levels of Amazon forests during 2000 to 2009 Environmental Research Letters. 7. DOI: 10.1088/1748-9326/7/2/024018 |
0.478 |
|
| 2012 |
Townshend JR, Masek JG, Huang C, Vermote EF, Gao F, Channan S, Sexton JO, Feng M, Narasimhan R, Kim D, Song K, Song D, Song XP, Noojipady P, Tan B, et al. Global characterization and monitoring of forest cover using Landsat data: Opportunities and challenges International Journal of Digital Earth. 5: 373-397. DOI: 10.1080/17538947.2012.713190 |
0.364 |
|
| 2012 |
Bréon FM, Vermote E. Correction of MODIS surface reflectance time series for BRDF effects Remote Sensing of Environment. 125: 1-9. DOI: 10.1016/J.Rse.2012.06.025 |
0.383 |
|
| 2012 |
Ju J, Roy DP, Vermote E, Masek J, Kovalskyy V. Continental-scale validation of MODIS-based and LEDAPS Landsat ETM+ atmospheric correction methods Remote Sensing of Environment. 122: 175-184. DOI: 10.1016/J.Rse.2011.12.025 |
0.445 |
|
| 2012 |
Wang D, Morton D, Masek J, Wu A, Nagol J, Xiong X, Levy R, Vermote E, Wolfe R. Impact of sensor degradation on the MODIS NDVI time series Remote Sensing of Environment. 119: 55-61. DOI: 10.1016/J.Rse.2011.12.001 |
0.442 |
|
| 2012 |
Ganguly S, Nemani RR, Zhang G, Hashimoto H, Milesi C, Michaelis A, Wang W, Votava P, Samanta A, Melton F, Dungan JL, Vermote E, Gao F, Knyazikhin Y, Myneni RB. Generating global Leaf Area Index from Landsat: Algorithm formulation and demonstration Remote Sensing of Environment. 122: 185-202. DOI: 10.1016/J.Rse.2011.10.032 |
0.397 |
|
| 2012 |
Feng M, Huang C, Channan S, Vermote EF, Masek JG, Townshend JR. Quality assessment of Landsat surface reflectance products using MODIS data Computers and Geosciences. 38: 9-22. DOI: 10.1016/j.cageo.2011.04.011 |
0.373 |
|
| 2012 |
Vadrevu KP, Ellicott E, Giglio L, Badarinath KVS, Vermote E, Justice C, Lau WKM. Vegetation fires in the himalayan region - Aerosol load, black carbon emissions and smoke plume heights Atmospheric Environment. 47: 241-251. DOI: 10.1016/J.Atmosenv.2011.11.009 |
0.389 |
|
| 2011 |
Vadrevu KP, Ellicott E, Badarinath KV, Vermote E. MODIS derived fire characteristics and aerosol optical depth variations during the agricultural residue burning season, north India. Environmental Pollution (Barking, Essex : 1987). 159: 1560-9. PMID 21444135 DOI: 10.1016/J.Envpol.2011.03.001 |
0.366 |
|
| 2011 |
Pinty B, Taberner M, Haemmerle VR, Paradise SR, Vermote E, Verstraete MM, Gobron N, Widlowski JL. Global-scale comparison of MISR and MODIS land surface albedos Journal of Climate. 24: 732-749. DOI: 10.1175/2010Jcli3709.1 |
0.436 |
|
| 2011 |
Sims DA, Rahman AF, Vermote EF, Jiang Z. Seasonal and inter-annual variation in view angle effects on MODIS vegetation indices at three forest sites Remote Sensing of Environment. 115: 3112-3120. DOI: 10.1016/j.rse.2011.06.018 |
0.326 |
|
| 2011 |
Justice CO, Vermote E, Privette J, Sei A. The evolution of U.S. moderate resolution optical land remote sensing from AVHRR to VIIRS Remote Sensing and Digital Image Processing. 11: 781-806. DOI: 10.1007/978-1-4419-6749-7_34 |
0.375 |
|
| 2011 |
Ju J, Vermote E, Roy DP, Masek J. Continental scale validation of MODIS-based and LEDAPS landsat ETM+ atmospheric correction methods 34th International Symposium On Remote Sensing of Environment - the Geoss Era: Towards Operational Environmental Monitoring. |
0.344 |
|
| 2010 |
Becker-Reshef I, Justice C, Sullivan M, Vermote E, Tucker C, Anyamba A, Small J, Pak E, Masuoka E, Schmaltz J, Hansen M, Pittman K, Birkett C, Williams D, Reynolds C, et al. Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project Remote Sensing. 2: 1589-1609. DOI: 10.3390/Rs2061589 |
0.313 |
|
| 2010 |
Samanta A, Ganguly S, Hashimoto H, Devadiga S, Vermote E, Knyazikhin Y, Nemani RR, Myneni RB. Amazon forests did not green-up during the 2005 drought Geophysical Research Letters. 37. DOI: 10.1029/2009Gl042154 |
0.395 |
|
| 2010 |
Becker-Reshef I, Vermote E, Lindeman M, Justice C. A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data Remote Sensing of Environment. 114: 1312-1323. DOI: 10.1016/J.Rse.2010.01.010 |
0.408 |
|
| 2010 |
Roy DP, Ju J, Kline K, Scaramuzza PL, Kovalskyy V, Hansen M, Loveland TR, Vermote E, Zhang C. Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States Remote Sensing of Environment. 114: 35-49. DOI: 10.1016/J.Rse.2009.08.011 |
0.435 |
|
| 2009 |
Ellicott E, Vermote E, Petitcolin F, Hook SJ. Validation of a new parametric model for atmospheric correction of thermal infrared data Ieee Transactions On Geoscience and Remote Sensing. 47: 295-311. DOI: 10.1109/Tgrs.2008.2006182 |
0.439 |
|
| 2009 |
Vermote E, Justice CO, Bréon FM. Towards a generalized approach for correction of the BRDF effect in MODIS directional reflectances Ieee Transactions On Geoscience and Remote Sensing. 47: 898-908. DOI: 10.1109/Tgrs.2008.2005977 |
0.38 |
|
| 2009 |
Cao C, Vermote E, Xiong X. Using AVHRR lunar observations for NDVI long-term climate change detection Journal of Geophysical Research Atmospheres. 114. DOI: 10.1029/2009Jd012179 |
0.381 |
|
| 2009 |
Ellicott E, Vermote E, Giglio L, Roberts G. Estimating biomass consumed from fire using MODIS FRE Geophysical Research Letters. 36. DOI: 10.1029/2009Gl038581 |
0.352 |
|
| 2009 |
Vermote E, Ellicott E, Dubovik O, Lapyonok T, Chin M, Giglio L, Roberts GJ. An approach to estimate global biomass burning emissions of organic and black carbon from MODIS fire radiative power Journal of Geophysical Research Atmospheres. 114. DOI: 10.1029/2008Jd011188 |
0.361 |
|
| 2009 |
Eck TF, Holben BN, Reid JS, Sinyuk A, Hyer EJ, O'Neill NT, Shaw GE, Vande Castle JR, Chapin FS, Dubovik O, Smirnov A, Vermote E, Schafer JS, Giles D, Slutsker I, et al. Optical properties of boreal region biomass burning aerosols in central Alaska and seasonal variation of aerosol optical depth at an Arctic coastal site Journal of Geophysical Research Atmospheres. 114. DOI: 10.1029/2008Jd010870 |
0.374 |
|
| 2009 |
Nagol JR, Vermote EF, Prince SD. Effects of atmospheric variation on AVHRR NDVI data Remote Sensing of Environment. 113: 392-397. DOI: 10.1016/J.Rse.2008.10.007 |
0.388 |
|
| 2008 |
Vermote EF, Kotchenova S. Atmospheric correction for the monitoring of land surfaces Journal of Geophysical Research Atmospheres. 113. DOI: 10.1029/2007JD009662 |
0.315 |
|
| 2008 |
Maignan F, Bréon FM, Vermote E, Ciais P, Viovy N. Mild winter and spring 2007 over western Europe led to a widespread early vegetation onset Geophysical Research Letters. 35. DOI: 10.1029/2007Gl032472 |
0.38 |
|
| 2007 |
Pedelty J, Devadiga S, Masuoka E, Brown M, Pinzon J, Tucker C, Vermote E, Prince S, Nagol J, Justice C, Roy D, Ju J, Schaaf C, Liu J, Privette J, et al. Generating a long-term land data record from the AVHRR and MODIS instruments International Geoscience and Remote Sensing Symposium (Igarss). 1021-1024. DOI: 10.1109/IGARSS.2007.4422974 |
0.404 |
|
| 2007 |
Levy RC, Remer LA, Mattoo S, Vermote EF, Kaufman YJ. Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance Journal of Geophysical Research Atmospheres. 112. DOI: 10.1029/2006JD007811 |
0.313 |
|
| 2007 |
Vermote EF, Roger JC, Sinyuk A, Saleous N, Dubovik O. Fusion of MODIS-MISR aerosol inversion for estimation of aerosol absorption Remote Sensing of Environment. 107: 81-89. DOI: 10.1016/j.rse.2006.09.025 |
0.327 |
|
| 2007 |
Sinyuk A, Dubovik O, Holben B, Eck TF, Breon FM, Martonchik J, Kahn R, Diner DJ, Vermote EF, Roger JC, Lapyonok T, Slutsker I. Simultaneous retrieval of aerosol and surface properties from a combination of AERONET and satellite data Remote Sensing of Environment. 107: 90-108. DOI: 10.1016/j.rse.2006.07.022 |
0.344 |
|
| 2006 |
Masek JG, Vermote EF, Saleous NE, Wolfe R, Hall FG, Huemmrich KF, Gao F, Kutler J, Lim TK. A landsat surface reflectance dataset for North America, 1990-2000 Ieee Geoscience and Remote Sensing Letters. 3: 68-72. DOI: 10.1109/LGRS.2005.857030 |
0.405 |
|
| 2006 |
Li RR, Remer L, Kaufman YJ, Mattoo S, Gao BC, Vermote E. Masking of residual snow and ice covered surfaces for improving aerosol retrievals from MODIS data International Geoscience and Remote Sensing Symposium (Igarss). 2236-2238. DOI: 10.1109/IGARSS.2006.578 |
0.344 |
|
| 2006 |
Stöckli R, Vermote E, Saleous N, Simmon R, Herring D. True color earth data set includes seasonal dynamics Eos. 87: 51-53. DOI: 10.1029/2006Eo050002 |
0.417 |
|
| 2006 |
Roger JC, Mallet M, Dubuisson P, Cachier H, Vermote E, Dubovik O, Despiau S. A synergetic approach for estimating the local direct aerosol forcing: Application to an urban zone during the Expérience sur Site pour Contraindre les Modèles de Pollution et de Transport d'Emission (ESCOMPTE) experiment Journal of Geophysical Research Atmospheres. 111. DOI: 10.1029/2005Jd006361 |
0.357 |
|
| 2005 |
Remer LA, Kaufman YJ, Tanré D, Mattoo S, Chu DA, Martins JV, Li RR, Ichoku C, Levy RC, Kleidman RG, Eck TF, Vermote E, Holben BN. The MODIS aerosol algorithm, products, and validation Journal of the Atmospheric Sciences. 62: 947-973. DOI: 10.1175/Jas3385.1 |
0.409 |
|
| 2005 |
Li RR, Remer L, Kaufman YJ, Mattoo S, Gao BC, Vermote E. Snow and ice mask for the MODIS aerosol products Ieee Geoscience and Remote Sensing Letters. 2: 306-310. DOI: 10.1109/Lgrs.2005.847755 |
0.451 |
|
| 2005 |
Tucker CJ, Pinzon JE, Brown ME, Slayback DA, Pak EW, Mahoney R, Vermote EF, El Saleous N. An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data International Journal of Remote Sensing. 26: 4485-4498. DOI: 10.1080/01431160500168686 |
0.33 |
|
| 2004 |
Jacob F, Petitcolin F, Schmugge T, Vermote E, French A, Ogawa K. Comparison of land surface emissivity and radiometric temperature derived from MODIS and ASTER sensors Remote Sensing of Environment. 90: 137-152. DOI: 10.1016/J.Rse.2003.11.015 |
0.417 |
|
| 2002 |
Petitcolin F, Vermote E. Land surface reflectance, emissivity and temperature from MODIS middle and thermal infrared data Remote Sensing of Environment. 83: 112-134. DOI: 10.1016/S0034-4257(02)00094-9 |
0.393 |
|
| 2002 |
Vermote EF, El Saleous NZ, Justice CO. Atmospheric correction of MODIS data in the visible to middle infrared: First results Remote Sensing of Environment. 83: 97-111. DOI: 10.1016/S0034-4257(02)00089-5 |
0.388 |
|
| 2002 |
Justice CO, Townshend JRG, Vermote EF, Masuoka E, Wolfe RE, Saleous N, Roy DP, Morisette JT. An overview of MODIS Land data processing and product status Remote Sensing of Environment. 83: 3-15. DOI: 10.1016/S0034-4257(02)00084-6 |
0.322 |
|
| 2002 |
Ouaidrari H, Goward SN, Czajkowski KP, Sobrino JA, Vermote E. Land surface temperature estimation from AVHRR thermal infrared measurements: An assessment for the AVHRR Land Pathfinder II data set Remote Sensing of Environment. 81: 114-128. DOI: 10.1016/S0034-4257(01)00338-8 |
0.456 |
|
| 2001 |
Wang Y, Tian Y, Zhang Y, El-Saleous N, Knyazikhin Y, Vermote E, Myneni RB. Investigation of product accuracy as a function of input and model uncertainties: Case study with SeaWiFs and MODIS LAI/FPAR algorithm Remote Sensing of Environment. 78: 299-313. DOI: 10.1016/S0034-4257(01)00225-5 |
0.423 |
|
| 2000 |
El Saleous NZ, Vermote EF, Justice CO, Townshend JRG, Tucker CJ, Goward SN. Improvements in the global biospheric record from the Advanced Very high resolution radiometer (AVHRR) International Journal of Remote Sensing. 21: 1251-1277. DOI: 10.1080/014311600210164 |
0.351 |
|
| 1999 |
Ouaidrari H, Vermote EF. Operational atmospheric correction of Landsat TM data Remote Sensing of Environment. 70: 4-15. DOI: 10.1016/S0034-4257(99)00054-1 |
0.318 |
|
| 1998 |
Wolfe RE, Roy DP, Vermote E. MODIS land data storage, gridding, and compositing methodology: Level 2 grid Ieee Transactions On Geoscience and Remote Sensing. 36: 1324-1338. DOI: 10.1109/36.701082 |
0.428 |
|
| 1998 |
Justice CO, Vermote E, Townshend JRG, Defries R, Roy DP, Hall DK, Salomonson VV, Privette JL, Riggs G, Strahler A, Lucht W, Myneni RB, Knyazikhin Y, Running SW, Nemani RR, et al. The moderate resolution imaging spectroradiometer (MODIS): Land remote sensing for global change research Ieee Transactions On Geoscience and Remote Sensing. 36: 1228-1249. DOI: 10.1109/36.701075 |
0.462 |
|
| 1998 |
Holben BN, Eck TF, Slutsker I, Tanré D, Buis JP, Setzer A, Vermote E, Reagan JA, Kaufman YJ, Nakajima T, Lavenu F, Jankowiak I, Smirnov A. AERONET - A federated instrument network and data archive for aerosol characterization Remote Sensing of Environment. 66: 1-16. DOI: 10.1016/S0034-4257(98)00031-5 |
0.421 |
|
| 1998 |
Roger JC, Vermote EF. A method to retrieve the reflectivity signature at 3.75 μm from AVHRR data Remote Sensing of Environment. 64: 103-114. DOI: 10.1016/S0034-4257(97)00173-9 |
0.314 |
|
| 1997 |
Vermote EF, El Saleous N, Justice CO, Kaufman YJ, Privette JL, Remer L, Roger JC, Tanré D. Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: Background, operational algorithm and validation Journal of Geophysical Research Atmospheres. 102: 17131-17141. DOI: 10.1029/97Jd00201 |
0.372 |
|
| 1997 |
Kaufman YJ, Tanré D, Remer LA, Vermote EF, Chu A, Holben BN. Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer Journal of Geophysical Research Atmospheres. 102: 17051-17067. |
0.356 |
|
| 1997 |
Arino O, Vermote E, Spaventa V. Operational atmospheric correction of landsat TM imagery Earth Observation Quarterly. 32-35. |
0.322 |
|
| 1995 |
Vermote E, Kaufman YJ. Absolute calibration of AVHRR visible and near-infrared channels using ocean and cloud views International Journal of Remote Sensing. 16: 2317-2340. DOI: 10.1080/01431169508954561 |
0.347 |
|
| 1995 |
Vermote EF, El Saleous N, Roger JC. Operational atmospheric correction of AVHRR visible and near-infrared data Proceedings of Spie - the International Society For Optical Engineering. 2311: 141-149. |
0.334 |
|
| 1995 |
Ye G, James M, Vermote E. Correcting the NOAA/NASA pathfinder AVHRR land data set for stratospheric aerosols International Geoscience and Remote Sensing Symposium (Igarss). 1: 265-267. |
0.361 |
|
| 1995 |
Vermote EF, El Saleous N. Stratospheric aerosol perturbing effect on the remote sensing of vegetation: operational method for the correction of AVHRR composite NDVI Proceedings of Spie - the International Society For Optical Engineering. 2311: 19-29. |
0.304 |
|
| 1995 |
Roger JC, Vermote EF, El Saleous N. Atmospheric corrections of MAS data using SCAR-A experiment Proceedings of Spie - the International Society For Optical Engineering. 2311: 83-89. |
0.341 |
|
| 1992 |
Tanré D, Vermote E, Holben BN, Kaufman YJ. Satellite aerosols retrieval over land surfaces using the structure functions International Geoscience and Remote Sensing Symposium (Igarss). 2: 1474-1477. DOI: 10.1109/IGARSS.1992.578487 |
0.305 |
|
| 1992 |
Holben B, Vermote E, Kaufman YJ, Tanré D, Kalb V. Aerosol Retrieval over Land from AVHRR Data-Application for Atmospheric Correction Ieee Transactions On Geoscience and Remote Sensing. 30: 212-222. DOI: 10.1109/36.134072 |
0.437 |
|
| 1992 |
Vermote E, Santer R, Deschamps PY, Herman M. In-flight calibration of large field of view sensors at short wavelengths using Rayleigh scattering International Journal of Remote Sensing. 13: 3409-3429. DOI: 10.1080/01431169208904131 |
0.337 |
|
| 1989 |
Tanre D, Deschamps PY, Herman M, Kergomard C, Vermote E. Influence of the atmosphere on satellite measurement on the solar spectrum - correction possibilities Bulletin - Societe Francaise De Photogrammetrie Et De Teledetection. 115: 3-4. |
0.358 |
|
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