PREDICTIVE MODELS BUILDING FOR DIAGNOSIS STATUS OF AVAILABLE NITROGEN AND PHOSPHORUS QUANTITY IN THE SOIL WITH TIME BY REMOTE SENSING DATA

Abstract

The study was Carried out in Wasit Province in Iraq, located between latitude 32°45'37.12"N to32°50'31.48"N and longitude 45°00'09.62"E to 45°05'57.82"E. The main objective of this study is predictive models building for diagnosis degradation of available nitrogen and phosphorus quantity in the soil, then using its on remote sensing data for 1994, 2004 and 2014 years, these models building by integration Generalized Difference Vegetation Index(GDVI2) and Optimized Soil-Adjusted Vegetation Index (OSAVI) with available nitrogen and phosphorus laboratory values, the available nitrogen and phosphorus digital maps production in predicted an accurate 0.9711 and 0.921 each of respectively. The results showed significant degradation in available nitrogen quantity in the soil between (1994-2004) and (1994-2014) 30.07% and 41.73% each of respectively, so available nitrogen quantity in the soil between (1994-2004) and (1994-2014) 24.82% and 28.39% each of respectively.