09Ali Abdullah Aldosari-AI for Remote Sensing in Saudi Arabian Agriculture.pdf

1、P1ALI A.ALDOSARIPRESIDENT OF SAUDI GEOGRAPHICAL SOCIETY KING SAUD UNIVERSITYADOSARIKSU.EDU.SAAI for Remote Sensing in Saudi Arabian Housing and AgricultureP2P2Outline uIntroduction of AiuAn examples of applications of AI in Remote SensinguAI methods Used in Remote SensinguAI in Saudi Arabia uKey AI

2、Applications in Saudi ArabiauApplying AI for Housing and Agriculture sectors in Saudi ArabiauChallenges&future trendsuConclusionP3P3Introduction of AI uArtificial Intelligence(AI)is revolutionizing remote sensing by enhancing the ability to process,analyze,and interpret vast amounts of geospatial da

3、ta from satellites,drones,and other sensors.uAI-driven techniques,particularly machine learning(ML)and deep learning(DL),enable faster,more accurate,and automated extraction of insights from remote sensing imagery.P4P4An Examples of Applications of AI in Remote Sensing1.Land Cover&Land Use Classific

4、ation-AI models(e.g.,CNNs,Random Forests)classify terrain into categories like forests,urban areas,water bodies,and agricultural land.2.Disaster Monitoring&Management-Detecting wildfires,floods,and earthquakes in real-time.-AI models analyze pre-and post-disaster imagery for damage assessment.3.Agri

5、culture-Crop health monitoring(NDVI analysis),yield prediction,and pest detection using multispectral and hyperspectral imagery.P5P5Vegetation MonitoringWinter Wheat Vigor Assessment in North China Mar.12,2024Feb.11,2024Jan.7,2024Vegetation Monitoringu NDVI：(Normalized Difference Vegetation Index）,O

6、ne of the most critical parameters reflecting crop growth vigor and nutritional status.This metric quantitatively determines seasonal nitrogen demand in crops,providing essential guidance for rational nitrogen fertilization.Formula:NDVI=(NIR-R)/(NIR+R)，R:Red band;NIR:Near-Infrared band.P6P6Data Acce