Extracting oil palm crown from WorldView-2 satellite image

Extracting cloud motion from satellite image sequences

This paper present a new technique for the estimation of cloud motion, using a sequence of infrared satellite images. It can be considered a challenging task due to the complexity of phenomena implied, as non-linear events and a non-rigid motion. In this circumstances most motion models are not suitable and new algorithms have to be developed. We propose a novel method, combining an Automatic M...

Geographic Object Based Image Analysis (geobia) for Mangrove Tree Crown Delineation Using Worldview-2 Image Data

Providing spatially explicit information of mangrove tree crown is essential to support management and monitoring of mangrove environment. This study developed a method to delineate individual Avicennia marina mangrove tree crown in Whyte Island (Brisbane, Australia) using the newly emerged GEOBIA approach and pan-sharpened WorldView-2 (WV-2, 0.5m pixel size) data. We used region growing techni...

Automated Extracting Tree Crown from Quickbird Stand Image

Artificial intelligence technologies with spatial information technologies play more and more roles in precision agriculture and precision forestry. This paper puts up a new artificial intelligence algorithm which based on seeded based region growth method to extract tree crown on Quickbird forest stand image. It is a kind of object based canopy and gap information extracting method specially s...

8-Band Image Data Processing of the Worldview-2 Satellite in a Wide Area of Applications

Identification and mapping of natural vegetation on a coastal site using a Worldview-2 satellite image.

Identification and mapping of natural vegetation are major issues for biodiversity management and conservation. Remotely sensed data with very high spatial resolution are currently used to study vegetation, but most satellite sensors are limited to four spectral bands, which is insufficient to identify some natural vegetation formations. The study objectives are to discriminate natural vegetati...