Agricultural growing season calendars derived from MODIS surface reflectance

International Journal of Digital Earth

Volumn 8, Issue 3, 2015, Pages 173-197

  Whitcraft, Alyssa K ^a   Becker Reshef, Inbal ^a   Justice, Christopher O ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

agriculture; data acquisition; Earth observation; remote sensing; vegetation indices

Indexed keywords

AGRICULTURE; CROPS; DATA ACQUISITION; FOOD SUPPLY; IMAGE ACQUISITION; OBSERVATORIES; ORBITS; RADIOMETERS; REFLECTION; REMOTE SENSING;

AGRICULTURAL LANDSCAPES; AGRICULTURAL MONITORING; AGRICULTURAL PRODUCTIONS; EARTH OBSERVATIONS; GROUP ON EARTH OBSERVATIONS; OBSERVATION SYSTEMS; SURFACE REFLECTANCE; VEGETATION INDEX;

AGRICULTURAL ROBOTS;

AGRICULTURAL APPLICATION; AGRICULTURAL PRODUCTION; CROPPING PRACTICE; DATA ACQUISITION; FOOD SECURITY; GROWING SEASON; MODIS; SATELLITE IMAGERY; SURFACE REFLECTANCE; TEMPORAL VARIATION; TERRA (SATELLITE);

EID: 84924179871     PISSN: 17538947     EISSN: 17538955     Source Type: Journal    
DOI: 10.1080/17538947.2014.894147     Document Type: Article

References (61)

1. Allen, Rich, George Hanuschak, and Mike Craig. 2002. History of Remote Sensing for Crop Acreage in USDA's National Agricultural Statistics Service. NASS.
2. Baret, Fred, and Gerard Guyot. 1991. “Potentials and Limits of Vegetation Indices for LAI and APAR Assessment.” Remote Sensing of Environment 35 (2): 161–173. doi:10.1016/0034-4257(91)90009-U.
3. Bastiaanssen, Wim G. M., David J. Molden, and Ian W. Makin. 2000. “Remote Sensing for Irrigated Agriculture: Examples from Research and Possible Applications.” Agricultural Water Management 46 (2): 137–155. doi:10.1016/S0378-3774(00)00080-9.
4. Becker-Reshef, Inbal, Eric Vermote, Mark Lindeman, and Christopher Justice. 2010a. “A Generalized Regression-based Model for Forecasting Winter Wheat Yields in Kansas and Ukraine Using MODIS Data.” Remote Sensing of Environment 114 (6): 1312–1323. doi:10.1016/j.rse.2010.01.010.
5. Becker-Reshef, Inbal, Chris Justice, Mark Sullivan, Eric Vermote, Compton Tucker, Assaf Anyamba, Jen Small, Ed Pak, Ed Masuoka, and Jeff Schmaltz. 2010b. “Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project.” Remote Sensing 2 (6): 1589–1609. doi:10.3390/rs2061589.
6. Biradar, Chandrashekhar M., and Xiangming Xiao. 2011. “Quantifying the Area and Spatial Distribution of Double- and Triple-cropping Croplands in India with Multi-temporal MODIS Imagery in 2005.” International Journal of Remote Sensing 32 (2): 367–386. doi:10.1080/01431160903464179.
7. Boken, Vijendra K., and Carl F. Shaykewich. 2002. “Improving an Operational Wheat Yield Model Using Phenological Phase-based Normalized Difference Vegetation Index.” International Journal of Remote Sensing 23 (20): 4155–4168. doi:10.1080/014311602320567955.
8. Bréon, Franccois-Marie, and Eric Vermote. 2012. “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.
9. Brisson, Nadine, Bruno Mary, Dominique Ripoche, Marie Hélène Jeuffroy, Franccoise Ruget, Bernard Nicoullaud, Philippe Gate, Florence Devienne-Barret, Rodrigo Antonioletti, and Carolyne Durr. 1998. “STICS: A Generic Model for the Simulation of Crops and Their Water and Nitrogen Balances. I. Theory and Parameterization Applied to Wheat and Corn.” Agronomie 18 (5–6): 311–346. doi:10.1051/agro:19980501.
10. Duveiller, Grégory, Frédéric Baret, and Pierre Defourny. 2011. “Crop Specific Green Area Index Retrieval from MODIS Data at Regional Scale by Controlling Pixel-target Adequacy.” Remote Sensing of Environment 115 (10): 2686–2701. doi:10.1016/j.rse.2011.05.026.
11. Duveiller, Grégory, and Pierre Defourny. 2010. “A Conceptual Framework to Define the Spatial Resolution Requirements for Agricultural Monitoring Using Remote Sensing.” Remote Sensing of Environment 114 (11): 2637–2650. doi:10.1016/j.rse.2010.06.001.
12. FAOSTAT. 2012. “Agriculture Organization of the United Nations.” Statistical Database.
13. Fischer, Alberte. 1994. “A Model for the Seasonal Variations of Vegetation Indices in Coarse Resolution Data and Its Inversion to Extract Crop Parameters.” Remote Sensing of Environment 48 (2): 220–230. doi:10.1016/0034-4257(94)90143-0.
14. Galford, Gillian L., John F. Mustard, Jerry Melillo, Aline Gendrin, Carlos C. Cerri, and Carlos E. P. Cerri. 2008. “Wavelet Analysis of MODIS Time Series to Detect Expansion and Intensification of Row-crop Agriculture in Brazil.” Remote Sensing of Environment 112 (2): 576–587. doi:10.1016/j.rse.2007.05.017.
15. Goward, Samuel N., Compton J. Tucker, and Dennis G. Dye. 1985. “North American Vegetation Patterns Observed with the NOAA-7 Advanced Very High Resolution Radiometer.” Plant Ecology 64 (1): 3–14. doi:10.1007/BF00033449.
16. Homer, Collin, Jon Dewitz, Joyce Fry, Michael Coan, Nazmul Hossain, Charles Larson, Nate Herold, Alexa McKerrow, J. Nick VanDriel, and James Wickham. 2007. “Completion of the 2001 National Land Cover Database for the Counterminous United States.” Photogrammetric Engineering and Remote Sensing 73 (4): 337.
17. Huete, A., Kamel Didan, Tomoaki Miura, E. Patricia Rodriguez, Xiang Gao, and Laerte G. Ferreira. 2002. “Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices.” Remote Sensing of Environment 83 (1): 195–213. doi:10.1016/S0034-4257(02)00096-2.
18. Jackson, Thomas J. 1986. “Soil Water Modeling and Remote Sensing.” IEEE Transactions on Geoscience and Remote Sensing GE-24 (1): 37–46. doi:10.1109/TGRS.1986.289586.
19. Jones, James W., Gerrit Hoogenboom, Cheryl H. Porter, Ken J. Boote, William D. Batchelor, Tony Hunt, Paul W. Wilkens, Upendra Singh, Arjan J. Gijsman, and Joe T. Ritchie. 2003. “The DSSAT Cropping System Model.” European Journal of Agronomy 18 (3): 235–265. doi:10.1016/S1161-0301(02)00107-7.
20. Jönsson, Per, and Lars Eklundh. 2004. “TIMESAT—A Program for Analyzing Time-series of Satellite Sensor Data.” Computers & Geosciences 30 (8): 833–845. doi:10.1016/j.cageo.2004.05.006.
21. Justice, Christopher O., and Inbal Becker-Reshef. 2007. “Report from the Workshop on Developing a Strategy for Global Agricultural Monitoring in the Framework of Group on Earth Observations (GEO).” UN FAO, July.
22. Justice, Christopher O., Eric Vermote, John R. G. Townshend, Ruth DeFries, David P. Roy, Dorothy K. Hall, Vincent V. Salomonson,. 1998. “The Moderate Resolution Imaging Spectroradiometer (MODIS): Land Remote Sensing for Global Change Research.” IEEE Transactions on Geoscience and Remote Sensing 36 (4): 1228–1249. doi:10.1109/36.701075.
23. Lloyd, Daniel. 1990. “A Phenological Classification of Terrestrial Vegetation Cover Using Shortwave Vegetation Index Imagery.” Remote Sensing 11 (12): 2269–2279. doi:10.1080/01431169008955174.
24. Lobell, David B., and Gregory P. Asner. 2004. “Cropland Distributions from Temporal Unmixing of MODIS Data.” Remote Sensing of Environment 93 (3): 412–422. doi:10.1016/j.rse.2004.08.002.
25. MacDonald, Robert B., and Forrest G. Hall. 1980. “Global Crop Forecasting.” Science 208: 670–679. doi:10.1126/science.208.4445.670.
26. Miller, Travis D. 1999. “Growth Stages of Wheat: Identification and Understanding Improve Crop Management. Texas Agricultural Extension Service, the Texas A&M University System”. SCS-1999-16.
27. Monfreda, Chad, Navin Ramankutty, and Jonathan A. Foley. 2008. “Farming the Planet: 2. Geographic Distribution of Crop Areas, Yields, Physiological Types, and Net Primary Production in the Year 2000.” Global Biogeochemical Cycles 22 (1): GB1022. doi:10.1029/2007GB002947.
28. Moulin, Sophie, Laurent Kergoat, Nicolas Viovy, and Gerard Dedieu. 1997. “Global-scale Assessment of Vegetation Phenology Using NOAA/AVHRR Satellite Measurements.” Journal of Climate 10 (6): 1154–1170. doi:10.1175/1520-0442(1997)010%3C1154:GSAOVP%3E2.0.CO;2.
29. Ozdogan, Mutlu. 2010. “The Spatial Distribution of Crop Types from MODIS Data: Temporal Unmixing Using Independent Component Analysis.” Remote Sensing of Environment 114 (6): 1190–1204. doi:10.1016/j.rse.2010.01.006.
30. Ozdogan, Mutlu, and Curtis E. Woodcock. 2006. “Resolution Dependent Errors in Remote Sensing of Cultivated Areas.” Remote Sensing of Environment 103 (2): 203–217. doi:10.1016/j.rse.2006.04.004.
31. Pan, Yaozhong, Le Li, Jinshui Zhang, Shunlin Liang, Xiufang Zhu, and Damien Sulla-Menashe. 2012. “Winter Wheat Area Estimation from MODIS-EVI Time Series Data Using the Crop Proportion Phenology Index.” Remote Sensing of Environment 119: 232–242. doi:10.1016/j.rse.2011.10.011.
32. Pax-Lenney, Mary, and Curtis E. Woodcock. 1997. “The Effect of Spatial Resolution on the Ability to Monitor the Status of Agricultural Lands.” Remote Sensing of Environment 61 (2): 210–220. doi:10.1016/S0034-4257(97)00003-5.
33. Pittman, Kyle, Matthew C. Hansen, Inbal Becker-Reshef, Peter V. Potapov, and Christopher O. Justice. 2010. “Estimating Global Cropland Extent with Multi-year MODIS Data.” Remote Sensing 2 (7): 1844–1863. doi:10.3390/rs2071844.
34. Portmann, Felix T., Stefan Siebert, and Petra Döll. 2010. “MIRCA2000—Global Monthly Irrigated and Rainfed Crop Areas Around the Year 2000: A New High-resolution Data Set for Agricultural and Hydrological Modeling.” Global Biogeochemical Cycles 24 (1): GB1011. doi:10.1029/2008GB003435.
35. Reed, Bradley C., Jesslyn F. Brown, Darre VanderZee, Thomas R. Loveland, James W. Merchant, and Donald O. Ohlen. 1994. “Variability of Land Cover Phenology in the United States.” Journal of Vegetation Science 5: 703–714. doi:10.2307/3235884.
36. Reed, Bradley C., Mark D. Schwartz, and Xiangming Xiao. 2009. “Remote Sensing Phenology.” Phenology of Ecosystem Processes 231–246. doi:10.1007/978-1-4419-0026-5_10.
37. Rouse, John W., Robert H. Haas, John A. Schell, Donald W. Deering, and James C. Harlan. 1974. Monitoring the Vernal Advancement and Retrogradation (Greenwave Effect) of Natural Vegetation. Remote Sensing Center, College Station, TX: Texas A & M University. http://library.wur.nl/WebQuery/clc/154154.
38. Sacks, William J., Delphine Deryng, Jonathan A. Foley, and Navin Ramankutty. 2010. “Crop Planting Dates: An Analysis of Global Patterns.” Global Ecology and Biogeography 19 (5): 607–620. doi:10.1111/j.1466-8238.2010.00551.x.
39. Sakamoto, Toshihiro, Brian D. Wardlow, Anatoly A. Gitelson, Shashi B. Verma, Andrew E. Suyker, and Timothy J. Arkebauer. 2010. “A Two-step Filtering Approach for Detecting Maize and Soybean Phenology with Time-series MODIS Data.” Remote Sensing of Environment 114 (10): 2146–2159. doi:10.1016/j.rse.2010.04.019.
40. Sakamoto, Toshihiro, Masayuki Yokozawa, Hitoshi Toritani, Michio Shibayama, Naoki Ishitsuka, and Hiroyuki Ohno. 2005. “A Crop Phenology Detection Method Using Time-series MODIS Data.” Remote Sensing of Environment 96 (3): 366–374. doi:10.1016/j.rse.2005.03.008.
41. Sellers, Piers J. 1985. “Canopy Reflectance, Photosynthesis and Transpiration.” International Journal of Remote Sensing 6 (8): 1335–1372. doi:10.1080/01431168508948283.
42. Sims, Daniel A., Abdullah F. Rahman, Eric F. Vermote, and Zuoning Jiang. 2011. “Seasonal and Inter-annual Variation in View Angle Effects on MODIS Vegetation Indices at Three Forest Sites.” Remote Sensing of Environment 115 (12): 3112–3120. doi:10.1016/j.rse.2011.06.018.
43. Singh Parihar, Jai, Chris Justice, Jo Soares, Olivier Leo, Pascal Kosuth, Ian Jarvis, Derrick Williams, Wu Bingfang, John Latham, and Inbal Becker-Reshef. 2012. “GEO-GLAM: A GEOSS-G20 Initiative on Global Agricultural Monitoring.” 39th COSPAR Scientific Assembly, Mysore, India, July 14–22, 2012. Abstract D2.2-9-12, P.1451, 39:1451. http://adsabs.harvard.edu/abs/2012cosp…39.1451S.
44. Stehfest, Elke, Maik Heistermann, Joerg A. Priess, Dennis S. Ojima, and Joseph Alcamo. 2007. “Simulation of Global Crop Production with the Ecosystem Model DayCent.” Ecological Modelling 209 (2–4): 203–219. doi:10.1016/j.ecolmodel.2007.06.028.
45. Steven, Michael D. 1993. “Satellite Remote Sensing for Agricultural Management: Opportunities and Logistic Constraints.” ISPRS Journal of Photogrammetry and Remote Sensing 48 (4): 29–34. doi:10.1016/0924-2716(93)90029-M.
46. Townshend, John R. G., and Christopher O. Justice. 1988. “Selecting the Spatial Resolution of Satellite Sensors Required for Global Monitoring of Land Transformations.” International Journal of Remote Sensing 9 (2): 187–236. doi:10.1080/01431168808954847.
47. Tucker, Compton J. 1979. “Red and Photographic Infrared Linear Combinations for Monitoring Vegetation.” Remote Sensing of Environment 8 (2): 127–150. doi:10.1016/0034-4257(79)90013-0.
48. Tucker, Compton J., Brent N. Holben, James H. Elgin, and James E. McMurtrey. 1981. “Remote Sensing of Total Dry-matter Accumulation in Winter Wheat.” Remote Sensing of Environment 11: 171–189. doi:10.1016/0034-4257(81)90018-3.
49. USDA-NASS. 1997. “Harvesting Dates for US Field Crops.” US Department of Agriculture National Agricultural Statistics Service.
50. USDA-NASS. 2010. Usual Planting and Harvesting Dates for US Field Crops.
51. USDA-NASS Cropland Data Layer. 2006. Published Crop Specific Data Layer [Online]. Washington, DC: USDA NASS. Accessed March 4, 2013. http://nassgeodata.gmu.edu/CropScape/.
52. USDA-NASS Cropland Data Layer. 2007. Published Crop Specific Data Layer [Online]. Washington, DC: USDA NASS. Accessed March 4, 2013. http://nassgeodata.gmu.edu/CropScape/.
53. USDA-NASS Quick Stats. 2013. Crop Progress and Condition, 2001–2010 [Online]. Washington, DC USDA-NASS. Accessed August 16, 2013. http://www.nass.usda.gov/Charts_and_Maps/Crop_Progress_&_Condition/.
54. Vermote, Eric F., Nazmi Z. El Saleous, and Christopher O. Justice. 2002. “Atmospheric Correction of MODIS Data in the Visible to Middle Infrared: First Results.” Remote Sensing of Environment 83 (1): 97–111. doi:10.1016/S0034-4257(02)00089-5.
55. Wardlow, Brian D., and Stephen L. Egbert. 2008. “Large-area Crop Mapping Using Time-series MODIS 250 m NDVI Data: An Assessment for the U.S. Central Great Plains.” Remote Sensing of Environment 112 (3): 1096–1116. doi:10.1016/j.rse.2007.07.019.
56. Wardlow, Brian D., Stephen L. Egbert, and Jude H. Kastens. 2007. “Analysis of Time-series MODIS 250 m Vegetation Index Data for Crop Classification in the US Central Great Plains.” Remote Sensing of Environment 108 (3): 290–310. doi:10.1016/j.rse.2006.11.021
57. Wardlow, Brian D., Jude H. Kastens, and Stephen L. Egbert. 2006. “Using USDA Crop Progress Data for the Evaluation of Greenup Onset Date Calculated from MODIS 250-meter Data.” Photogrammetric Engineering and Remote Sensing 72 (11): 1225–1234. doi:10.14358/PERS.72.11.1225.
58. White, Michael A., Peter E. Thornton, and Steven W. Running. 1997. “A Continental Phenology Model for Monitoring Vegetation Responses to Interannual Climatic Variability.” Global Biogeochemical Cycles 11 (2): 217–234. doi:10.1029/97GB00330.
59. Wiegand, Craig L., and Arthur J. Richardson. 1990. “Use of Spectral Vegetation Indices to Infer Leaf Area, Evapotranspiration and Yield: I. Rationale.” Agronomy Journal 82 (3): 623–629. doi:10.2134/agronj1990.00021962008200030037x.
60. Xiao, Xiangming, Stephen Boles, Jiyuan Liu, Dafang Zhuang, Steve Frolking, Changsheng Li, William Salas, and Berrien Moore III. 2005. “Mapping Paddy Rice Agriculture in Southern China Using Multi-temporal MODIS Images.” Remote Sensing of Environment 95 (4): 480–492. doi:10.1016/j.rse.2004.12.009.
61. Zhang, Xiaoyang, Mark A. Friedl, Crystal B. Schaaf, Alan H. Strahler, John CF Hodges, Feng Gao, Bradley C. Reed, and Alfredo Huete. 2003. “Monitoring Vegetation Phenology Using MODIS.” Remote Sensing of Environment 84 (3): 471–475. doi:doi:10.1016/S0034-4257(02)00135-9.