Remote sensing began with the use of aerial photography and is acknowledged as a valuable tool for viewing, analyzing, characterizing, and making decisions about our environment. The Grand Canal of China is the longest ancient canal in the world and recently approved as the Key National Relics-preservation Unit. In our work multi-source and multi-temporal remote sensing data, including the aeri...

Recently declassified US intelligence satellite photographs dating from the Cold War have been found to be a valuable source of historical overhead imagery for use in archaeological and other studies. Such civilian uses of material that was originally acquired for intelligence purposes represent salient examples of the ‘serendipity effect’ of aerial reconnaissance, whereby photographs taken for...

Creating a model, instead of just making measurements, is a common task in photogrammetry today. Methods can vary depending on the requirements, data availability, and type of scenery. The amount of user input is one major differentiating factor. The methods discussed in this paper align closely with a typical workflow for urban mapping from aerial photographs.

The main objective of the present study is to investigate the hydrogeology of the Jalakandapuram sub – basin, groundwater potential and quality of groundwater for domestic, industrial and agricultural purposes. Jalakandapuram ( Latitudes 11° 35‟30‟‟N to 11°46‟25‟‟N and Longitudes 77°48‟30‟‟ E to 78°2‟E) Subbasin is one among the four subbasins of the Sarabanga minor basins which comes under the...

During 1971 and 1972 a detailed study was conducted on a fallow field in the proposed Oahe Irrigation Project to determine the relationship between the tonal variation observed on aerial photographs and the properties of eroded soil. Correlation and regression analysis of digitized, multiemulsion, color infrared film (2443) data and detailed field data revealed a highly significant correlation ...

To classify Egeria densa, Brazilian waterweed, in scan-digitized color infrared aerial photographs, we are developing automated methods based on data-mining and knowledge-engine techniques. In this paper, we present progress to date, compare the results of the two approaches, and discuss current problems and anticipated solutions.

Our current research focuses in developing an efficient solution to generate and update the building inventory database. Conventionally, the geo-database has been updated mainly based on the acquired aerial photographs. It suffers from the problems of shadow, poor contrast and occlusion. To avoid those problems, we propose the employment of LiDAR (Light Detection And Ranging) data in developing...

Change in the spatial characteristics of forest openings was investigated in three forested watersheds in northwestern Siskiyou County, California totalling approximately 24,600 hectares. Watersheds with minimal human disturbance were chosen for study. However, fi;e suppression has been pervasive throughout. Characteristics of forest openings (area, perimeter, distance between neighboring openi...

The present study examines the role of spatial metrics in the performance of a previously developed ANN model for predicting land use/cover changes. The model outputs are validated against a land-use change map, which has been derived from ortho-rectified aerial photographs, Landsat TM and Quckbird data. The results from the application of the model before and after the use of spatial metrics a...