Moraes, Jener Fernando 
  
—— 
  
  
  
    
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
slope map layers and land evaluation. Considering the above statements, this study research the application through 2.1 Soil 
GIS of a soil erosion model to evaluate soil losses and its relationship with land cover in a watershed scale. 
The me 
2. MATERIAL AND METHODS WM kp 
analyse 
The present research was carried out at the Lajeado watershed, an 1,263 ha area at Sáo Paulo-state southwestern region, ne 
Brazil (21? 25'S and 50° 05"W), located in a sugarcane growing region (Figure 1). The first step consisted in creating a 
digital data bank in Ilwis - Geographical Information System - containing all the information required to evaluate the 
land use planning. The basic information required to the objectives of this study were: 
Latoss 
Latoss 
e Detailed Topographic map (1:10000) pi 
e Detailed Soil Map (1:10000) Dee 
Podzöl 
e Land Use Map Solos 
e Climate Data (mean and annual monthly — 
precipitation) 
eo  USLE-factor parameters Table 1 
2.2 
study region The ar 
topogra 
interpol 
obtaine 
Figure 1. Location of the study area 
The flow chart presented in Figure 2, resume all data acquired and how they were integrated in GIS to assess land use 2.3 
planning and soil loss rates. 
One qu 
perforn 
Climate Soil Topography Landuse operati: 
v the cha 
DEM we hav 
v Slope 
Slope (96) 
Using : 
v inform: 
Slope Length Corn, C 
classes 
Y Y v Y photog 
R-factor K-factor LS-factor C-factor P-factor 24 
| | 
The Ur 
to elab 
follow: 
v ollow 
Natural Erosion Potential Soil Loss = R*K*LS*C*P «—M» Land Use (1) Ra 
Planning 
(2) Soi 
Figure 2. Application of USLE factor through GIS 7 in 
(5) P( 
  
* Ilwis — Integrated Land and Water Information System. ITC 
  
896 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B7. Amsterdam 2000.