Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras

(2019) Vasit Sagan et al.   Remote Sensing

A comparative study of fine-tuning deep learning models for plant disease identification

(2018) Edna Chebet Too et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Progressively Expanded Neural Network (PEN Net) for hyperspectral image classification: A new neural network paradigm for remote sensing image analysis

(2018) Paheding Sidike et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

dPEN: deep Progressively Expanded Network for mapping heterogeneous agricultural landscape using WorldView-3 satellite imagery

(2018) Paheding Sidike et al.   REMOTE SENSING OF ENVIRONMENT

Tree Classification in Complex Forest Point Clouds Based on Deep Learning

(2017) Xinhuai Zou et al.   IEEE Geoscience and Remote Sensing Letters

Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data

(2017) Luxia Liu et al.   REMOTE SENSING OF ENVIRONMENT

Canopy Height Model (CHM) Derived From a TanDEM-X InSAR DSM and an Airborne Lidar DTM in Boreal Forest

(2016) Yaser Sadeghi et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images

(2016) Weijia Li et al.   Remote Sensing

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

(2016) Liangpei Zhang et al.   IEEE Geoscience and Remote Sensing Magazine

Deep Learning Based Feature Selection for Remote Sensing Scene Classification

(2015) Qin Zou et al.   IEEE Geoscience and Remote Sensing Letters

Assessing the utility WorldView-2 imagery for tree species mapping in South African subtropical humid forest and the conservation implications: Dukuduku forest patch as case study

(2015) Moses Azong Cho et al.   International Journal of Applied Earth Observation and Geoinformation

Automatic Conversion of DSM to DTM by Classification Techniques Using Multi-date Stereo Data from Cartosat-1

(2015) M. Sreedhar et al.   Journal of the Indian Society of Remote Sensing

Object-Based Urban Tree Species Classification Using Bi-Temporal WorldView-2 and WorldView-3 Images

(2015) Dan Li et al.   Remote Sensing

Urban tree species mapping using hyperspectral and lidar data fusion

(2014) Michael Alonzo et al.   REMOTE SENSING OF ENVIRONMENT

Coastline extraction using high resolution WorldView-2 satellite imagery

(2014) Pasquale Maglione et al.   European Journal of Remote Sensing

High Spatial Resolution WorldView-2 Imagery for Mapping NDVI and Its Relationship to Temporal Urban Landscape Evapotranspiration Factors

(2014) Hamideh Nouri et al.   Remote Sensing

Evaluating the Potential of WorldView-2 Data to Classify Tree Species and Different Levels of Ash Mortality

(2014) Lars Waser et al.   Remote Sensing

Shadow Detection and Reconstruction in High-Resolution Satellite Images via Morphological Filtering and Example-Based Learning

(2013) Huihui Song et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Influence of Vegetation Structure on Lidar-derived Canopy Height and Fractional Cover in Forested Riparian Buffers During Leaf-Off and Leaf-On Conditions

(2013) Leah Wasser et al.   PLoS One

Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based Segmentation Approaches

(2013) Marek Jakubowski et al.   Remote Sensing

Near-infrared imagery from unmanned aerial systems and satellites can be used to specify fertilizer application rates in tree crops

(2012) L. Felderhof et al.   CANADIAN JOURNAL OF REMOTE SENSING

A comparative analysis of high spatial resolution IKONOS and WorldView-2 imagery for mapping urban tree species

(2012) Ruiliang Pu et al.   REMOTE SENSING OF ENVIRONMENT

Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system

(2012) Moses Azong Cho et al.   REMOTE SENSING OF ENVIRONMENT

Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data

(2012) Michele Dalponte et al.   REMOTE SENSING OF ENVIRONMENT

Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data

(2012) Markus Immitzer et al.   Remote Sensing

Broadband, red-edge information from satellites improves early stress detection in a New Mexico conifer woodland

(2011) Jan U.H. Eitel et al.   REMOTE SENSING OF ENVIRONMENT

Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI)

(2010) Glenn Fitzgerald et al.   FIELD CROPS RESEARCH

Assessing the utility of airborne hyperspectral and LiDAR data for species distribution mapping in the coastal Pacific Northwest, Canada

(2010) Trevor G. Jones et al.   REMOTE SENSING OF ENVIRONMENT

Multi-source land cover classification for forest fire management based on imaging spectrometry and LiDAR data

(2008) B. Koetz et al.   FOREST ECOLOGY AND MANAGEMENT

Comparative Analysis of EO-1 ALI and Hyperion, and Landsat ETM+ Data for Mapping Forest Crown Closure and Leaf Area Index

(2008) Ruiliang Pu et al.   SENSORS