+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Assessment of MODIS LAI retrievals over soybean crop in Southern Brazil

Assessment of MODIS LAI retrievals over soybean crop in Southern Brazil

International Journal of Remote Sensing 27(19): 4091-4100

In the present paper we have looked into the excessive occurrence of 255 standard fill value retrievals in Collection 4 MODIS LAI product over soybean areas from crop year 2001/2002 to 2004/2005, in Southern Brazil. The 255 standard fill value indicates that no leaf area index (LAI) retrieval was possible for the considered pixel. Time series of eight-day composite LAI images (MOD15A2) and 16-day composite NDVI images (MOD13Q1) were both compared with a soybean reference map derived from multitemporal Landsat images. The Land Cover Type 3 product (MOD12Q1) was also analysed to verify if the occurrence of those retrievals was related to misclassification of the broadleaf crops biome. Results indicated that the 255 standard fill value retrievals in Collection 4 LAI product were mainly related to soybean areas during peak growing season and occurred in every crop year we have studied. Eventual misclassification in the biome map was not the cause of those retrievals in the Collection 4 MODIS LAI product.

Please choose payment method:

(PDF emailed within 0-6 h: $19.90)

Accession: 012903419

Download citation: RISBibTeXText

DOI: 10.1080/01431160600851850

Related references

Assessing the MODIS crop detection algorithm for soybean crop area mapping and expansion in the Mato Grosso state, Brazil. Thescientificworldjournal 2014: 863141, 2014

Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil. Crop and Pasture Science 69(2): 154-162, 2018

Identification of the spatial and temporal dynamics for estimating soybean crop area from MODIS images in the Rio Grande do Sul, Brazil. Revista Brasileira de Engenharia Agricola E Ambiental 18(1): 54-63, 2014

Best soybean crop of all times in southern Brazil. Agricultura de hoje 5(59): 28-29, 1980

Accuracy assessment of MODIS daily snow albedo retrievals with in situ measurements in Karasu basin, Turkey. Hydrological Processes 20(4): 705-721, 2006

Assessment of MODIS cloud effective radius and optical thickness retrievals over the Southeast Pacific with VOCALS-REx in situ measurements. Journal of Geophysical Research 116(D24): N/A-N/A, 2011

Investigating Enhanced Aqua MODIS Aerosol Optical Depth Retrievals over the Mid-to-High Latitude Southern Oceans through Intercomparison with Co-Located CALIOP, MAN, and AERONET Datasets. 2013

Inter-comparison of performance of soybean crop simulation models and their ensemble in southern Brazil. Field Crops Research 200: 28-37, 2017

Assessment of damage caused by in soybean crop in the 2011/2012 season in Brazil. Phytopathology 102(7): 80-80, 2012

Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. International Journal of Biometeorology 62(5): 823-832, 2018

Greenhouse gases assessment of soybean cultivation steps in southern Brazil. Journal of Cleaner Production 131: 747-753, 2016

Sustainability assessment of soybean production in Southern Brazil: A life cycle approach. Sustainable Production and Consumption 13: 102-112, 2018

Using temporal NDVI/MODIS profiles for inferences on the crop soybean calendar. Bragantia 74(3): 350-358, 2015

Survival of wheat pathogens in wheat and soybean crop residues in southern and central brazil. Canadian Journal of Plant Pathology 11(2): 189, 1989

Estimation of the absorbed photosynthetically active radiation by the soybean crop through modis sensor data. Bragantia 71(4): 563-571, 2012