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Journal : Journal of Tropical Soils

An Evaluation of MODIS Global Evapotranspiration Product as Satellite-Based Evapotranspiration Data for Supporting Precision Agriculture in West Papua - Indonesia Arif Faisol; Indarto Indarto; Elida Novita; Budiyono Budiyono
JOURNAL OF TROPICAL SOILS Vol 26, No 1: January 2021
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2021.v26i1.43-49

Abstract

Precision Agriculture has been a significant issue since the middle of the 1980s. Evapotranspiration is one of the main parameters in precision agriculture to analyze real water needs in the agriculture area and managing water resources. Traditionally evapotranspiration estimates by directly measured methods, i.e., lysimeter, pan-evaporation, eddy covariance, Bowen ratio, soil water, and climate data analysis. These methods are expensive techniques with low spatial representativeness. The utilization of remote sensing technology is expected to be an alternative solution for providing evapotranspiration data with a cost-effective and high spatial representative. This research aims to evaluate the MODIS global evapotranspiration as satellite-based evapotranspiration in estimating evapotranspiration in West Papua. Four (4) statistical parameters, i.e., mean error (ME), root means square error (RMSE), relative bias (RB), and mean bias factor (MBF), are using for evaluation. The research showed that MODIS global evapotranspiration was overestimated in estimating evapotranspiration in West Papua. However, MODIS global evapotranspiration has an acceptable accuracy in estimating evapotranspiration in West Papua indicated by ME = 0.66 mm/day, RMSE = 0.94 mm/day, RB = 0.27, and MBF = 0.81. Therefore, MODIS global evapotranspiration can be used as an alternative solution for providing evapotranspiration data in West Papua with a cost-effective.
Soil Erosion Prediction Using GIS and RUSLE: Study at Sampean Watershed Arif Faisol; Indarto Indarto
JOURNAL OF TROPICAL SOILS Vol 15, No 2: May 2010
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2010.v15i2.147-152

Abstract

Soil Erosion Prediction Using GIS and RUSLE: Study at Sampean Watershed (A Faisol and Indarto): Erosion is one  factor that cause soil degradation in Indonesia. RUSLE (Revised Universal Soil Loss Equation) is widely used to predict average annual rate of soil erosion. This research integrate the Revised Universal Soil Loss Equation (RUSLE) and Geographic Information System (GIS) to predict potential soil erosion losses. Study was conducted at Sampean Watershed where located in Eastern part of East Java. Firstly, GIS layer was obtained from available database that cover East Java Province. All treatment of GIS layer was done using Mapwindows GIS. Furthermore, RUSLE method was used to predict rate of soil erosion from GIS layer treated previously.  Results showed that up to 82% (102,921 ha) area of the watershed have tolerable soil erosion rate.