remotely-sensed data

Multiangular imagery is an important way of obtaining multiangular remotely sensed data.

Uncertainty in the classified remotely sensed data is one of the most important elements of the data quality.

The study shows that high-resolution remotely sensed data is a great promise to the research of landscape.

Interpretation Theory and Application Method Development for Information Extraction from High Resolution Remotely Sensed Data

Comparative analysis of regional evapotranspiration estimation models using remotely sensed data

Design of a data processing system for drought monitoring using remotely sensed data

Pixel- and site-based calibration and validation methods for evaluating supervised classification of remotely sensed data

Combining Multiple Classifiers for Thematic Classification of Remotely Sensed Data

Comparison of detecting land cover characteristics using multi - scale remotely sensed data

Analysis and Application of Directional Reflectance in Satellite Remotely Sensed Data

Progress in Land Surface Temperature Retrieval from Passive Microwave Remotely Sensed Data

A Study on Landscape Changes of Ecotone in Contiguous Area of Shanxi, Shaanxi and Inner Mongolia Using Remotely Sensed Data

Application of the Color Transformation to DEM and Remotely Sensed Data Merging

Using prior probabilities in decision-tree classification of remotely sensed data

A review on forest ecosystem biophysical parameter retrieval from remotely sensed data

Scaling effect and spatial variability in retrieval of vegetation LAI from remotely sensed data

Quantitative monitoring of vegetation cover change by using remotely sensed data over Minqin Oasis, Gansu

Comparison of Three Geostatistical Texture Measures for Remotely Sensed Data Classification

The Technological Framework of Data Mining from the Polygenetic Remotely Sensed Data

Landscape Pattern Analysis on Change in the Fraction of Green Vegetation Based on Remotely Sensed Data in Beijing Mountainous Area

Rock Mass and Concealed Rock Mass Information Extracted from Remotely Sensed Data in Yingzuishan Area, Gansu Province

A New Approach to Accuracy Assessment of Classifications of Remotely Sensed Data

Optimized BP neural network classifier based on genetic algorithm for land cover classification using remotely-sensed data

A Method for Tracking Individual Planetary Waves in Remotely Sensed Data

The EM-based Maximum Likelihood Classifier for Remotely Sensed Data

Detecting Vegetation Fractional Coverage of Typical Steppe in Northern China Based on Multi-scale Remotely Sensed Data

Analysis of Topographical Effect on Retrieval of LAI from Remotely Sensed Data

machine processing of remotely sensed data

Fusion method for multi-source remotely sensed data

An Algorithm for Inundated Depth Calculation of Flood Based on Remotely Sensed Data

Analysis of Land Use Changes in Quanzhou City Based on Remotely Sensed Data

Analysis of remotely sensed data: the formative decades and the future