The architecture and integration of Hyperspectral Image Processing and Analysis System（HIPAS V1.0） are introduced in this paper. Under the modularized structure

HIPAS can offer customer more extensibility and convenience on huge image data processing and information extraction. We discuss the solutions for multi-source

multi-temporal and multi-thematic data processing

analysis and products distribution. Based on the airborne remote sensing data

we extracted and realized the typical operational model of hyperspectral remote sensing applications such as classfication

mapping

index inversion

identification etc. Under the integration of key technologies and special methodologies

such as Robust Pixel Unmixing

Auto Flat Field Transformation（AFFT）

Self-Adaptive Filter（SAF）

Univeral Gravitation Classification（UGC）etc

the application modules for environment monitoring in HIPAS were also introduced in this paper. As an example

some useful and valuable applications on pollution monitoring of water resource were given together with some constructive suggestions.