Satellite imagery

Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product

Éric Vermote, Chris Justice, Martin Claverie, B. Franch

Citations: 1643 • 2016

Atmospheric correction of visible to middle‐infrared EOS‐MODIS data over land surfaces: Background, operational algorithm and validation

Éric Vermote, Nazmi Saleous, Chris Justice, Y. J. Kaufman, J. L. Privette, L. A. Remer, Jean‐Claude Roger, D. Tanré

Citations: 579 • 1997

Weed detection for site‐specific weed management: mapping and real‐time approaches

Citations: 360 • 2010

Evaluation of the Landsat-5 TM and Landsat-7 ETM+ surface reflectance products

Martin Claverie, Éric Vermote, B. Franch, Jeffrey G. Masek

Citations: 233 • 2015

Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters

Liesbeth De Keukelaere, Sindy Sterckx, Stefan Adriaensen, Els Knaeps, I. Reusen, Claudia Giardino, Mariano Bresciani, Peter Hunter, Claire Neil, D. Van der Zande

Citations: 216 • 2018

Improved estimation of aerosol optical depth from MODIS imagery over land surfaces

Shunlin Liang, Bo Zhong, Hongliang Fang

Citations: 81 • 2006

Toward Seamless Multiview Scene Analysis From Satellite to Street Level

Sébastien Lefèvre, Devis Tuia, Jan Dirk Wegner, Timothée Produit, Ahmed Samy Nassar

Citations: 73 • 2017

Limitations of the dense dark vegetation method for aerosol retrieval under Australian conditions

Sam Gillingham, Neil Flood, Tony K. Gill, R. M. Mitchell

Citations: 33 • 2011

Three Applications of Deep Learning Algorithms for Object Detection in Satellite Imagery

Milena Napiórkowska, David Petit, Paula Martí

Citations: 24 • 2018

An Improved Aerosol Optical Depth Retrieval Algorithm for Moderate to High Spatial Resolution Optical Remotely Sensed Imagery

Bo Zhong, Shanlong Wu, Aixia Yang, Qinhuo Liu

Citations: 19 • 2017

Validating a new algorithm for estimating aerosol optical depths over land from MODIS imagery

Bo Zhong, Shunlin Liang, B. N. Holben

Citations: 19 • 2007

On determining appropriate aerosol optical depth values for atmospheric correction of satellite imagery for biophysical parameter retrieval: requirements and limitations under Australian conditions

Sam Gillingham, Neil Flood, Tony K. Gill

Citations: 15 • 2012

Toward Autonomous Localization of Planetary Robotic Explorers by Relying on Semantic Mapping

Kamak Ebadi, Kyle Coble, Dima Kogan, Deegan Atha, Russell Schwartz, Curtis Padgett, Joshua Vander Hook

Citations: 13 • 2022

Vineyard Segmentation from Satellite Imagery Using Machine Learning

Luís Santos, Filipe Neves dos Santos, Vítor Filipe, Pranjali Shinde

Citations: 11 • 2019

A Method for Unbiased High-Resolution Aerosol Retrieval from Landsat

Alexei Lyapustin, Darrel L. Williams, Brian L. Markham, J. R. Irons, B. N. Holben, Yun Wang

Citations: 11 • 2004

An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery

Bo Zhong, Shanlong Wu, Aixia Yang, Kai Ao, Jinhua Wu, Junjun Wu, Xueshuang Gong, Haibo Wang, Qinhuo Liu

Citations: 6 • 2020

Improved estimation of aerosol optical depth from Landsat TM/ETM+ imagery over land

Bo Zhong

Citations: 6 • 2011

Comparison of Landsat-7 Enhanced Thematic Mapper Plus <inline-formula><math display="inline" overflow="scroll"><mo>(</mo><mi>ETM</mi><mo>+</mo><mo>)</mo></math></inline-formula> and Earth Observing One (EO-1) Advanced Land Imager

J. A. Pedelty

Citations: 4 • 2004

Towards Fire Identification Model in Satellite Images Using HPC Embedded Systems and AI

Jhon Deivy Perez Arguello, Carlos Barrios-Hernandez, Julian Rodriguez-Ferreira

Citations: 2 • 2022

Leveraging multispectral imagery for fertigation timing recommendations through the N-time automated decision support system

Jackson S. Stansell, Joe D. Luck, Tyler G. Smith, Hongfeng Yu, Daran R. Rudnick, Brian Krienke

Citations: 2 • 2022