Mapping Soil Clay Content and Hydraulic Properties over an Agricultural Semiarid Plain Using Remote Sensing and Interpolation Techniques
			
	
 
Więcej
Ukryj
	
	
									
				1
				Department of Health and Agro-Industry Engineering High School of Engineering and Innovation of Marrakesh (E2IM), Private University of Marrakesh (UPM) Road Amezmiz, Marrakech, Morocco.
				 
			 
						
				2
				LMI TREMA, Cadi Ayyad University, Marrakech, Morocco
				 
			 
						
				3
				Center for Remote Sensing Applications, Mohammed VI Polytechnic University (UM6P), Morocco, (CRSA)
				 
			 
						
				4
				LP2M2E, Faculty of Science and Technology, University Cadi Ayyad, Marrakech, Morocco
				 
			 
						
				5
				LMME, Department of Physics, Faculty of Science Semlalia, University Cadi   Ayyad, Marrakech, Morocco
				 
			 
						
				6
				CESBIO, Centre d'Etudes Spatiales de la Biosphère, 31400 Toulouse,  France
				 
			 
						
				7
				4LMME, Department of Physics, Faculty of Science Semlalia, University Cadi Ayyad, Marrakech, Morocco
				 
			 
										
				
				
		
		 
			
			
		
		
		
		
		
		
	
							
					    		
    			 
    			
    				    					Autor do korespondencji
    					    				    				
    					Houda  Nassah   
    					Department of Health and Agro-Industry Engineering High School of Engineering and Innovation of Marrakesh (E2IM), Private University of Marrakesh (UPM) Road Amezmiz, Marrakech, Morocco.
    				
 
    			
				 
    			 
    		 		
			
																											 
		
	 
		
 
 
Ecol. Eng. Environ. Technol. 2024; 1:164-179
		
 
 
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
Clay content is an important parameter governing hydrodynamics property of soils and consequently crucial to environmental management and agricultural development. The present study aims to use the textural middle infrared index (MID index) product of Landsat-8 Operational Land Images to map clay content over the Haouz plain (Central Morocco). The clay content was mapped at 30 m grid spatial resolution based on the relationship between the MID index and a large set of soil samples. Over the areas covered by green vegetation, the clay content was predicted using the ordinary cokriging technique. Then, this information was used to derive soil hydraulic properties such as the field capacity (θfc), the wilting point (θwp) and the saturated hydraulic conductivity (Ksat) by using different pedotransfer functions. The validation of the maps was performed by using independent soil samples and measurements.
The results showed that the clay content is significantly correlated to MID index. The ordinary cokriging improved mapping of clay content over the Haouz plain (R2 = 0.70, RMSE = 3.5%). The obtained maps of θfc, θwp and Ksat revealed a good correlation between the simulated values and the measured values.