AZoSensors on MSN

New Sampling Method Dramatically Improves Remote Sensing Accuracy

A new complexity-based sampling optimization method is set to improve the accuracy and reliability of remote sensing ...
JSTOR Daily

Using MODIS remote sensing data for mapping the spatio-temporal variability of water quality and river turbid plume

Fox River is the main source of land-based pollutants that flows into the southern Green Bay of Lake Michigan. Evaluation of water quality is normally based on time consuming and expensive in situ ...
Frontiers

Advances in Deep Learning–Based Intelligent Sensing for Non-Destructive Monitoring of Crop Nutrition and Quality

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.
insider.si.edu

Quantifying spatial uncertainty in natural resources : theory and applications for GIS and remote sensing / edited by H. Todd Mowrer and Russell G. Congalton

Based on revised and expanded papers presented at the Second International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. Introduction: the past, present, ...