High-resolution satellite images (HRSI) at sub-5m footprint are becoming increasingly available. A set of algorithms for processing of HRSI has been developed at the Institute of Geodesy and Photogrammetry (IGP), ETH Zurich and realized in a software suite called SAT-PP (Satellite Image Precision Processing). The SAT-PP features mainly include: GCP measurements, image georeferencing with RPC ap...

Abstract. Surface air temperature (SAT) is a key indicator of global warming and plays an important role in glacier melting. On the Tibetan Plateau (TP), there exists large number glaciers. However, station SAT observations on these glaciers are extremely scarce, moreover available ones characterized by short time series, which substantively hinder our deep understanding dynamics due to climate...

in the fifth development plan establishment, establishment of the cadastre system of agriculture nationwide has been defined to be the work priority of institutions and organizations responsible in the area of agriculture and equity issuance in the country. in this study, the possibility of provision of the cadastral mapping of agriculture by a integration of the data of the remote sensing and ...

The aim of this paper is to propose a systematic overview of membrane computing model in land cover feature extraction. Membrane computing is a new branch of natural computation which has a great deal of distribution and handles maximal parallelism. The bio-inspired technique is used for image classification and these images are remote sensing satellite image. The terrain features like water, b...

Spatial and temporal information on urban infrastructure is essential requires various land-cover/land-use planning management applications. Besides, a change in has direct impact other land-cover climatic conditions. This study assessed changes the rate spatial distribution of Peshawar district’s its effects Land Surface Temperature (LST) during years 1996 2019. For this purpose, firstly, sate...

Pasture biomass is an important quantity globally in livestock industries, carbon balances, and bushfire management. Quantitative estimates of pasture biomass or total standing dry matter (TSDM) at the field scale are much desired by land managers for land-resource management, forage budgeting, and conservation purposes. Estimates from optical satellite imagery alone tend to saturate in the cov...

This paper presents a comprehensive approach to effectively and accurately extract coastlines from satellite imagery. It consists of a sequence of image processing algorithms, in which the key component is image segmentation based on a locally adaptive thresholding technique. Several technical innovations have been made to improve the accuracy and efficiency for determining the land/ water boun...