Intérêt du moyen infrarouge pour la cartographie des résidus de cultures

Estimating and mapping crop residues cover on agricultural lands using hyperspectral and IKONOS data

“…Unfortunately, these methods are time consuming and not suited for large spatial coverage (Daughtry et al, 1996). A major challenge of remote sensing, as a potential alternative technique to detect crop residues and to monitor agricultural fields, is to differentiate residues from bare soil (Daughtry et al, 2005), especially when the residues have been weathered (Bannari et al, 2000;Streck et al, 2002). In order to assess the presence of green vegetation, several spectral indices were developed over the years for quantitative evaluation of vegetation cover .…”

“…Due to the absence of chlorophyll in senescent and dry vegetation, these indices are not suited for the estimation of crop residue rate cover (Bannari et al, 1999;Cyr et al, 1995;Major et al, 1990). Other spectral wavelength ranges that are more adequate for crop residues were selected and new indices for quantitative evaluation of the crop residue rate cover were developed (Biard et al, 1995;Biard & Baret, 1997;Bannari et al, 2000;Daughtry, 2001;Daughtry et al, 1996Daughtry et al, , 2004Haboudane et al, 1997). The crop residue indices found in the literature are the Brightness Index (BI; Major et al, 1990), Cellulose Absorption Index (CAI; Daughtry et al, 1996), Normalized Difference Index (NDI; McNairn & Protz, 1993), Soil Adjusted Corn Residue Index (SACRI; Biard et al, 1995), Modified Soil Adjusted Corn Residue Index (MSACRI; Bannari et al, 2000), and Crop Residue Index Multiband (CRIM; Biard & Baret, 1997).…”

“…The crop residue indices found in the literature are the Brightness Index (BI; Major et al, 1990), Cellulose Absorption Index (CAI; Daughtry et al, 1996), Normalized Difference Index (NDI; McNairn & Protz, 1993), Soil Adjusted Corn Residue Index (SACRI; Biard et al, 1995), Modified Soil Adjusted Corn Residue Index (MSACRI; Bannari et al, 2000), and Crop Residue Index Multiband (CRIM; Biard & Baret, 1997). These indices were compared in order to identify the ones that are more suitable for estimation of crop residue percent cover in an agricultural environment using multispectral and hyperspectral data, spectroradiometric ground measurements, different soil types, different residue types (wheat, corn, barley, soya, sunflower), and different residue percentages (Bannari et al, 1999(Bannari et al, , 2000Chevrier et al, 2002;Chevrier, 2002). The results of these studies indicate that the semiempirical models CRIM and MSACRI are more suitable for discriminating residues from bare soil and for estimating the percent cover fraction of residue.…”

“…Other spectral wavelength ranges that are more adequate for crop residues were selected and new indices for quantitative evaluation of the crop residue rate cover were developed (Biard et al, 1995;Biard & Baret, 1997;Bannari et al, 2000;Daughtry, 2001;Daughtry et al, 1996Daughtry et al, , 2004Haboudane et al, 1997). The crop residue indices found in the literature are the Brightness Index (BI; Major et al, 1990), Cellulose Absorption Index (CAI; Daughtry et al, 1996), Normalized Difference Index (NDI; McNairn & Protz, 1993), Soil Adjusted Corn Residue Index (SACRI; Biard et al, 1995), Modified Soil Adjusted Corn Residue Index (MSACRI; Bannari et al, 2000), and Crop Residue Index Multiband (CRIM; Biard & Baret, 1997). These indices were compared in order to identify the ones that are more suitable for estimation of crop residue percent cover in an agricultural environment using multispectral and hyperspectral data, spectroradiometric ground measurements, different soil types, different residue types (wheat, corn, barley, soya, sunflower), and different residue percentages (Bannari et al, 1999(Bannari et al, , 2000Chevrier et al, 2002;Chevrier, 2002).…”

Estimation of Maize Residue Cover Using Landsat-8 OLI Image Spectral Information and Textural Features

“…The application of crop residue to agricultural fields after harvest is important for protecting the soil surface against water and wind erosion [1][2][3][4]. This agricultural practice also helps improve the soil structure and increase the organic matter content in soil [5], thereby facilitating the biodegradation of pollutants [6].…”