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- Title
EMPIRICAL ANALYSIS OF RICE YIELDS DETERMINANT USING REMOTE SENSING VEGETATION HEALTH CONDITION INDICES: CASE STUDY OF LAKE GERIYO, AKERRA AND TALATA-MAFARA, NIGERIA.
- Authors
ALIYU, H.; BADARU, Y. U.; ABUBAKAR, A. S.
- Abstract
This research focuses on the ability of remote sensing vegetation index acquired from the Landsat-8 operational land imager (OLI)/thematic infrared sensor (TIRS) and Satellite Pour l'Observation de la Terre (SPOT-6 and 7) HRV, HRVIR, HRG system as effective indicator to measure rice growing condition and predicting yield rate. The normalized difference vegetation indices (NDVI), leaf area indices (LAI) and perpendicular vegetation indices (PVI) that embrace supervised and unsupervised application is use to examine dynamics in ricegrowing regions, harvest prediction modelling, estimating production yields, determining differences in plant biomass and the assessment of ecosystem services in rice-growing areas. The result shows multivariate regression model correlated nicely with two vegetation indices to produce significant value or classification accuracy of R² = 0.3813 (38%) for NDVI, while PVI with significant value of R² = 0.3102 (31%). In a normal growing period, the amount of vegetation biomass is at NDVI 0.4550/PVI 0,2227 in the month of December, January, February and March, while, active vegetation at NDVI 0.8225/PVI 0.2882 in the month of May, June, July, August, September and October. Due to the extensively wide range at a rate of NDVI 0.7115-0.8225/PVI 0.2882-0.2960, the areas are favourable for the cultivation of rice. Furthermore, the research is interested in getting the overall value of a vegetation condition for the study areas, therefore, it is clear that a simple mean of the existing data will suffice, since the existing data has high estimate of vegetation across the landscape.
- Subjects
REMOTE sensing; NORMALIZED difference vegetation index; LEAF area index; PLANT biomass; POTAMOGETON
- Publication
Ethiopian Journal of Environmental Studies & Management, 2019, Vol 12, Issue 2, p214
- ISSN
1998-0507
- Publication type
Article