Comprehensive study of the biophysical parameters of agricultural crops based on assessing Landsat 8 OLI and Landsat 7 ETM+ vegetation indices. Issue 3 (3rd May 2016)

• Record Type: Journal Article
• Authors: Ahmadian, Nima; Ghasemi, Sahar; Wigneron, Jean-Pierre; Zölitz, Reinhard
• Is Part Of: GIScience & remote sensing. Volume 53:Issue 3(2016)
• Page Start: 337
• Page End: 359
• Publication Date: 2016-05-03
• Subjects: biophysical parameters -- Landsat 8 OLI -- Landsat 7 ETM+ -- vegetation index -- agricultural crops; Geodesy -- Periodicals; Cartography -- Periodicals; Aerial photogrammetry -- Periodicals; Remote sensing -- Periodicals; 526.05
• DOI: 10.1080/15481603.2016.1155789
• Languages: English
• ISSNs: 1548-1603

Abstract

Abstract : For three agricultural crop types, winter wheat ( Triticum aestivum L.), barley ( Hordeum vulgare L.), and canola ( Brassica napus L.), we estimated biophysical parameters including fresh and dry biomass, leaf area index (LAI), and vegetation water content, for which we found the equivalent water thickness (EWT), fuel moisture content per fresh weight (FMCFW ), and fuel moisture content per dry weight (FMCDW ). We performed these estimations using data from the newly launched Landsat 8 Operational Land Imager (OLI) sensor, as well as its predecessor the Landsat 7 Enhanced Thematic Mapper Plus (ETM+). Progress in the design of the new sensor (i.e., Landsat 8), including narrower near-infrared (NIR) wavebands, higher signal-to-noise ratio (SNR), and greater radiometric resolution highlights the necessity to investigate the biophysical parameters of agricultural crops, especially compared to data from its predecessor. This study aims to evaluate vegetation indices (VIs) derived from the Landsat 8 OLI and the Landsat 7 ETM+. Both the Landsat 8 OLI and Landsat 7 ETM+ VIs agreed well with in-situ data measurements. However, the Landsat 8 OLI-derived VIs were generally more consistent with in situ data than the Landsat 7 ETM+ VIs. We also note that the Landsat 8 OLI is better able to capture the small variability of the VIs because of its higher SNR and wider radiometric range; in addition, the saturation phenomenon occurred earlier for the Landsat 7 ETM+ than for the Landsat 8 OLI. This indicates that the new sensor is better able to estimate the biophysical parameters of crops.