Monitoring Biennial Bearing Effect on Coffee Yield Using MODIS Remote Sensing Imagery

Rangeland Monitoring Using Remote Sensing

The Estimation of Winter Wheat Yield Based on MODIS Remote Sensing Data

A yield estimation method by remote sensing was used to estimate the yield of winter wheat in Jiangsu province, China. The first step of this study was to extract the planting area of winter wheat from environmental satellite images and land -use map of Jiangsu province, meanwhile, correlation analyses were performed by using 8-day of composite Leaf Area Index (LAI) data from Moderate Resolutio...

Remote Sensing based Crop Yield Monitoring and Forecasting

Accurate and timely information on rice crop growth and yield helps governments and other stakeholders adapting their economic policies, enables relief organizations to better anticipate and coordinate relief efforts in the wake of a natural catastrophe, and provides technical backbone of an insurance solution where risks of yield losses from the rice smallholders are transferred to the insuran...

Low Cost UAV-based Remote Sensing for Autonomous Wildlife Monitoring

In recent years, developments in unmanned aerial vehicles, lightweight on-board computers, and low-cost thermal imaging sensors offer a new opportunity for wildlife monitoring. In contrast with traditional methods now surveying endangered species to obtain population and location has become more cost-effective and least time-consuming. In this paper, a low-cost UAV-based remote sensing platform...

Automatic Cloud Detection and Removal Algorithm for MODIS Remote Sensing Imagery

Cloud is one of the most common interferers in Moderate Resolution Imaging Spectrum-radiometer (MODIS) remote sensing imagery. Because of cloud interference, much important and useful information covered by cloud cannot be recovered well. How to detect and remove cloud from MODIS imagery is an important issue for wide application of remote sensing data. In general, cloud can be roughly divided ...