PRELIMINARY STUDY OF DIGITALIZING POTENTIAL PADDY LOT SAMPLE USING SPACE BASED TECHNOLOGY FOR CROP CUTTING SURVEY (CCS)

摘要

Various efforts have been carried out by government agencies to increase data quality in rice production. Conventionally, Crop Cutting Survey (CCS) is an important tool to provide data for determining average paddy yield production in Malaysia. However, it is time-consuming and costly. Still, this tool is very crucial for national paddy development and planning purposes. Realizing that, Malaysia Space Agency (MYSA) with the Department of Agriculture Malaysia (DOA) have taken the initiative to develop the Geospatial Information System (Mak-GeoPadi) to identify precise and up-to-date areas of paddy granary all over Malaysia. The main objective of this study is to map potential CCS paddy lot sample map over 1ADA Barat Laut Selangor study area. For that purpose, data from high-resolution optical satellite such as Pleiades satellite, multi-temporal radar images, such as Radarsat-2 satellite and cadaster lot, have been used for analysis. High-resolution optical data were used to classify active paddy parcel, miscellaneo us paddy parcel and non-paddy parcel. Multi-temporal Radarsat-2 images together with cadaster tat were used to identify actual planted paddy area. Satellite image classification methods use algorithms that applied systematically the entire satellite image to group pixels into meaningful categories to determine actual paddy planting area. Paddy actual planted area in each lot can be analyzed using satellite image classification methods. Results indicate high-resolution optical data and Radarsat-2 time-series images were highly beneficial in identifying paddy planting area. Backscatter range (sigma naught) less than -11 can differentiate paddy from other crops. Potential paddy lot sample can be mapped to be used for CCS which is based on active paddy parcel and actual planted paddy area. This paper shows promising result in the sampling of CCS lot which needs further study in order to digitalize the CCS technique in Malaysia.