 Landsat Soil Moisture Data for Crop Productivity Assessment in the Great Lakes Basin, Southern OntarioÂ
Standing
Undergraduate
Type of Proposal
Oral Research Presentation
Challenges Theme
Open Challenge
Faculty Sponsor
Tirupati Bolisetti
Proposal
The moisture content of the land surface will be a crucial parameter to find the health of vegetation. However, areal assessment of soil moisture conditions through field surveys is very expensive and cumbersome. This study shows the estimation and correlation between Normalised Difference Moisture Index (NDMI) and Normalised Difference Vegetation Index (NDVI) for the southern Ontario region using Landsat satellite data within ArcGIS pro.
Grand Challenges
Viable, Healthy and Safe Communities
 Landsat Soil Moisture Data for Crop Productivity Assessment in the Great Lakes Basin, Southern OntarioÂ
The moisture content of the land surface will be a crucial parameter to find the health of vegetation. However, areal assessment of soil moisture conditions through field surveys is very expensive and cumbersome. This study shows the estimation and correlation between Normalised Difference Moisture Index (NDMI) and Normalised Difference Vegetation Index (NDVI) for the southern Ontario region using Landsat satellite data within ArcGIS pro.