Submit Your Manuscript Online

Sentinel 1 Time Series Potential Analysis for Rainfed Crop Phonology in Dry Central Sudan

	International Journal of Scientific Research and Engineering Development (IJSRED)	Full Text:
	Published Issue : Volume-4 Issue-1
	Year of Publication : 2021
	Unique Identification Number : IJSRED-V4I1P100
	Authors :Solafa Babiker, Sara Khogaly, Elbasri Abulgasim
	: Click Here | DOI : Update Soon

Abstract :

Monitoring crop phonology is an important concern for developing countries wheremost of the main crops are produced under rain fed conditions in arid and semi arid lands,sustainability of agricultural productionisthreats by erratic rainfall, water deficit stress andheat.In the context of changing climate,this study aim to enhance the crop evolution monitoring andderive successive phonological changes description by using sentinel 1Asynthesis aperture radar (SAR) images that able to fill information gaps of fragmented optical satellite data through the growth season by penetratewidespread and persistent clouds in Sudan.Time series analysis of intensity and coherence backscattering modelswas generated and analyzed for small fields to detect cropphenologicalchangesin rainfed season 2017-2018. To identify the precipitation amounts, CHRIPS rainfall satellite data are obtained and analyzed through the growth season. Results are showed continuousphonological description for cultivated crop through the seasonformed by intensity and coherence backscattering model the results are verified using CHRIPS rainfall satellite data and field survey. This paper provided valuable techniques over the remote sensing approaches of crop drought/ moisture conditions and conclude the efficiency of sentinel 1A for frequent detecting of crop phonological structure which is crucial for food security and yield estimation,the methods is limited by lack of dense and continues spectral and observed yield data at farm levels.