Full text: XVIIIth Congress (Part B7)

GEOPROCESSING TECHNIQUES AND MODELLING APPLIED TO MONITOR EROSION OF TROPICAL 
SOILS 
Mario Valerio Filho 
Geraldo Jose Lucatelli Araujo Junior 
Instituto Nacional de Pesquisas Espaciais - INPE, 
P.O Box 515, 12.227-010 - Säo José dos Campos - SP-Brazil 
Comission VII, Working Group 6 
KEY WORDS: Remote Sensing, Modelling, Geoprocessing, Soil Erosion. 
ABSTRACT: 
This work presents a study that was made in an agricultural watershed (eastern Säo Paulo State, Brazil) and its purpose 
was to monitor soil erosion susceptibility areas and to provide information for rural planning. A Geographic 
Information System - GIS (SGI/INPE) was used to integrate physical parameters of the Universal Soil Loss Equation - 
USLE model adjusted. Erosivity, Erodibility, Slope Length, Slope Steepness, Land Use and Management and 
Conservationist Practices USLE factors were integrated in a GIS environment to obtain the soil loss estimation and 
characterization of areas under erosion process during 1988 and 1994. The erosion susceptibility maps provide an 
estimate and spatial distribution of areas with erosion risk as well as the monitoring of critical areas and provided 
further information for soil conservation planning. 
1. INTRODUCTION 
The great demand for food production for the growing 
population, has consequently caused the occupation of all 
agricultural lands without considering the capability 
potential of these areas. The results of this occupation is 
the loss of natural soil fertility, changes of water quality 
and silting of rivers and reservoirs. 
For a rational land ocupation and agricultural production 
it is important to establish agricultural policies which 
consider the food production needs and environmental 
conservation issues, specially considering soil and water 
conditions. 
Geoprocessing techniques envolving remote sensing and 
geographic information systems are important tools 
which allow the acquisition and integration of thematic 
data (Bocco and Valenzuela, 1988; Zhou, 1989; Castro, 
1992; Olson et al., 1994) and also provide inputs for the 
spatial/temporal characterization of areas under erosion 
process at the watershed level, and characterization of 
soil erosion susceptibility. 
In this context several works have been developed using 
loss estimate model Universal Soil Loss Equation-USLE 
(Wischmeier and Smith, 1978). There are several studies 
using USLE model such as: Ventura et al. (1988); Pinto 
(1991); Donzeli et al. (1992); Valerio Filho et al. (1993); 
and Mellerowicz et al. (1994). 
This study presents a methodology of modelling and 
geoprocessing techniques for the characterization and 
237 
monitoring of areas submited to soil erosion in 1988 and 
1994. 
2. METHODOLOGICAL PROCEDURES 
The area under study is the watershed of Ribeiräo Bonito, 
located around the lake of Barra Bonita, in the centre of 
Sáo Paulo State, Brazil, located at S 22°38’ 11°, to 
S 22? 2T 15” and W 42° 11° 52” to W 42° 06’ 16”. 
The Ribeiräo Bonito watershed is a natural landscape unit 
insert among the boundary of two larger geologic- 
geomorphologic units: Peripheral Depression, made up 
mainly by sandstones and the Front of Cuestas, a 
structure of sandstones and  basaltic rocks. The 
escarpment, where this river is born, defines different 
runoff conditions, mainly at the medium and lower 
course at the Periferic Depression, characterizing wide 
and smooth interfluves and low relief energy. 
The soil map is represented by six large groups with 
variations in physical and chemical characteristics. 
Agricultural production is concentrated at the lower and 
middle portion of the wathershed, represented mainly by 
sugar cane plantations, summer crops, pastures and 
reforestation. 
To perform this study, the USLE - Universal Soil Loss 
Equation, (Wischmeier and Smith, 1978) was used as an 
analytical guide to process and integrate the 
environmental data available. The USLE model is a 
function of six environmental and antrophic variables: 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996 
 
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.