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Relationships between Soil–Landscape and Dryland Cotton Lint Yield

^a Dep. of Agricultural and Biological Engineering, Box 9632, Mississippi State, MS 39762
^b USDA-ARS, Crop Science Research Lab., P.O. Box 5367, Mississippi State, MS 39762

View larger version (36K): [in a new window]   Fig. 1. Average minimum and maximum temperatures and total monthly precipitation at the farm for 2001 and 2002.

View larger version (18K): [in a new window]   Fig. 2. Functional flow of topographic and hydrologic features extraction process in a geographic information system. First, the real-time kinematic-global positioning system elevation data was converted to a 4.71-m grid then depressions known as sinks were filled, and subsequently slope, aspect, flow direction (FlowDir), flow accumulation (FlowAcc), wetness index (WetIndx), and sediment transport index (SedTInd) maps were derived. While the combination of flow direction and flow accumulation maps were used to derive stream network map. DEM = digital elevation model.

View larger version (76K): [in a new window]   Fig. 3. Cotton lint yield monitor data for 2001 and 2002 draped over a three-dimensional field elevation (real-time kinematic-global positioning system) map along with elevation contours and classified bare soil near-infrared band (wavelength of 950 nm with 100-nm bandwidth) with 0.5-m spatial resolution. Stream networks are superimposed on a bare soil imagery map to depict landscape hydrology–soil catena process–yield interaction on a field scale.

View larger version (71K): [in a new window]   Fig. 4. Grid-based topographic and hydrologic attributes maps of (a) slope, (b) aspect, (c) curvature, and (d) sedimentation transport index (SedTInd) of the field derived from real-time kinematic-global positioning system elevation data using ArcView (Environmental Systems Research Institute, 1998).

View larger version (58K): [in a new window]   Fig. 5. Grid-based derived hydrologic attributes maps of (a) wetness index (WetIndx), (b) flow accumulation (FlowAcc), (c) flow length (FlowLth), and (d) flow direction (Flow Dir) of the field derived from real-time kinematic-global positioning system elevation data using ArcView (Environmental Systems Research Institute, 1998).