Multispectral and Texture Feature Application in Image-Object Analysis of Summer Vegetation in Eastern Tajikistan Pamirs

Status and population structure of a hunted population of Marco Polo Argali Ovis ammon polii (Cetartiodactyla, Bovidae) in Southeastern Tajikistan

(2016) Raul Valdez et al.   MAMMALIA

Comparative Study of Classification Methods for Surficial Materials in the Umiujalik Lake Region Using RADARSAT-2 Polarimetric, Landsat-7 Imagery and DEM Data

(2015) Fan Li et al.   CANADIAN JOURNAL OF REMOTE SENSING

Mangrove Mapping and Change Detection in Ca Mau Peninsula, Vietnam, Using Landsat Data and Object-Based Image Analysis

(2015) Nguyen-Thanh Son et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Quantifying dwarf shrub biomass in an arid environment: comparing empirical methods in a high dimensional setting

(2015) H. Zandler et al.   REMOTE SENSING OF ENVIRONMENT

Seasonal Land Cover Dynamics in Beijing Derived from Landsat 8 Data Using a Spatio-Temporal Contextual Approach

(2015) Jie Wang et al.   Remote Sensing

Mapping Spatial Distribution of Larch Plantations from Multi-Seasonal Landsat-8 OLI Imagery and Multi-Scale Textures Using Random Forests

(2015) Tian Gao et al.   Remote Sensing

Comparative Study of Classification Methods for Surficial Materials in the Umiujalik Lake Region Using RADARSAT-2 Polarimetric, Landsat-7 Imagery and DEM Data

(2015) Fan Li et al.   CANADIAN JOURNAL OF REMOTE SENSING

Geographic Layers as Landscape Drivers for the Marco Polo Argali Habitat in the Southeastern Pamir Mountains of Tajikistan

(2015) Eric Salas et al.   ISPRS International Journal of Geo-Information

Predictive Mapping of Dwarf Shrub Vegetation in an Arid High Mountain Ecosystem Using Remote Sensing and Random Forests

(2014) Kim Vanselow et al.   Remote Sensing

Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery

(2014) Congcong Li et al.   Remote Sensing

Urban Built-Up Area Extraction from Landsat TM/ETM+ Images Using Spectral Information and Multivariate Texture

(2014) Jun Zhang et al.   Remote Sensing

Realities and myths of the Teresken Syndrome – An evaluation of the exploitation of dwarf shrub resources in the Eastern Pamirs of Tajikistan

(2013) Tobias Kraudzun et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission

(2013) Isabella Mariotto et al.   REMOTE SENSING OF ENVIRONMENT

A New Approach for the Analysis of Hyperspectral Data: Theory and Sensitivity Analysis of the Moment Distance Method

(2013) Eric Salas et al.   Remote Sensing

imageRF – A user-oriented implementation for remote sensing image analysis with Random Forests

(2012) Björn Waske et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Multi-scale object-based image analysis and feature selection of multi-sensor earth observation imagery using random forests

(2012) Dennis C. Duro et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Separability of maize and soybean in the spectral regions of chlorophyll and carotenoids using the Moment Distance Index

(2012) Eric Ariel L. Salas et al.   ISRAEL JOURNAL OF PLANT SCIENCES

Image texture as a remotely sensed measure of vegetation structure

(2012) Eric M. Wood et al.   REMOTE SENSING OF ENVIRONMENT

Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

(2012) V.F. Rodriguez-Galiano et al.   REMOTE SENSING OF ENVIRONMENT

Segmentation and object-oriented classification of wetlands in a karst Florida landscape using multi-season Landsat-7 ETM+ imagery

(2011) R. C. Frohn et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery

(2011) Soe W. Myint et al.   REMOTE SENSING OF ENVIRONMENT

Object-oriented mapping of landslides using Random Forests

(2011) André Stumpf et al.   REMOTE SENSING OF ENVIRONMENT

Assessing object-based classification: advantages and limitations

(2011) Desheng Liu et al.   Remote Sensing Letters

An Object-Based Classification of Mangroves Using a Hybrid Decision Tree—Support Vector Machine Approach

(2011) Benjamin W. Heumann   Remote Sensing

Improved Textural Built-Up Presence Index for Automatic Recognition of Human Settlements in Arid Regions With Scattered Vegetation

(2010) Martino Pesaresi et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Methodology to map the spread of an invasive plant (Lantana camara L.) in forest ecosystems using Indian remote sensing satellite data

(2010) M. M. Kimothi et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Object-oriented method for urban vegetation mapping using IKONOS imagery

(2010) Xiuying Zhang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Satellite image texture and a vegetation index predict avian biodiversity in the Chihuahuan Desert of New Mexico

(2009) Véronique St-Louis et al.   ECOGRAPHY

The Impact of Phenological Variation on Texture Measures of Remotely Sensed Imagery

(2009) Patrick D. Culbert et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Object based image analysis for remote sensing

(2009) T. Blaschke   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification

(2009) Fabio Pacifici et al.   REMOTE SENSING OF ENVIRONMENT

A Robust Built-Up Area Presence Index by Anisotropic Rotation-Invariant Textural Measure

(2008) Martino Pesaresi et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses

(2008) Francisco Agüera et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mangrove Forest Distributions and Dynamics in Madagascar (1975–2005)

(2008) Chandra Giri et al.   SENSORS