Paparoditis, N.[Nicolas],
Souchon, J.P.[Jean-Philippe],
Martinoty, G.[Gilles],
Pierrot-Deseilligny, M.[Marc],
High-end aerial digital cameras and their impact on the automation and
quality of the production workflow,
PandRS(60), No. 6, September 2006, pp. 400-412.
Elsevier DOI
0610
Digital cameras; Calibration; Surface reconstruction; Orthoimages;
Radiometric equalization
BibRef
Laliberte, A.S.[Andrea S.],
Goforth, M.A.[Mark A.],
Steele, C.M.[Caitriana M.],
Rango, A.[Albert],
Multispectral Remote Sensing from Unmanned Aircraft:
Image Processing Workflows and Applications for Rangeland Environments,
RS(3), No. 11, November 2011, pp. 2529-2551.
DOI Link
1203
Award, Remote Sensing, Third. 2015.
BibRef
Yue, P.[Peng],
Guo, X.[Xia],
Zhang, M.[Mingda],
Jiang, L.C.[Liang-Cun],
Zhai, X.[Xi],
Linked Data and SDI: The case on Web geoprocessing workflows,
PandRS(114), No. 1, 2016, pp. 245-257.
Elsevier DOI
1604
Linked Data
BibRef
Vannan, S.[Suresh],
Beaty, T.W.[Tammy W.],
Cook, R.B.[Robert B.],
Wright, D.M.[Daine M.],
Devarakonda, R.[Ranjeet],
Wei, Y.X.[Ya-Xing],
Hook, L.A.[Les A.],
McMurry, B.F.[Benjamin F.],
A Semi-Automated Workflow Solution for Data Set Publication,
IJGI(5), No. 3, 2016, pp. 30.
DOI Link
1604
BibRef
Stratoulias, D.[Dimitris],
Tolpekin, V.[Valentyn],
de By, R.A.[Rolf A.],
Zurita-Milla, R.[Raul],
Retsios, V.[Vasilios],
Bijker, W.[Wietske],
Hasan, M.A.[Mohammad Alfi],
Vermote, E.[Eric],
A Workflow for Automated Satellite Image Processing: from Raw VHSR
Data to Object-Based Spectral Information for Smallholder Agriculture,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Slocum, R.K.[Richard K.],
Parrish, C.E.[Christopher E.],
Simulated Imagery Rendering Workflow for UAS-Based Photogrammetric 3D
Reconstruction Accuracy Assessments,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Aasen, H.[Helge],
Honkavaara, E.[Eija],
Lucieer, A.[Arko],
Zarco-Tejada, P.J.[Pablo J.],
Quantitative Remote Sensing at Ultra-High Resolution with UAV
Spectroscopy: A Review of Sensor Technology, Measurement Procedures,
and Data Correction Workflows,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Chabot, D.[Dominique],
Dillon, C.[Christopher],
Shemrock, A.[Adam],
Weissflog, N.[Nicholas],
Sager, E.P.S.[Eric P. S.],
An Object-Based Image Analysis Workflow for Monitoring Shallow-Water
Aquatic Vegetation in Multispectral Drone Imagery,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Lancheros, E.[Estefany],
Camps, A.[Adriano],
Park, H.[Hyuk],
Rodriguez, P.[Pedro],
Tonetti, S.[Stefania],
Cote, J.[Judith],
Pierotti, S.[Stephane],
Selection of the Key Earth Observation Sensors and Platforms Focusing
on Applications for Polar Regions in the Scope of Copernicus System
2020-2030,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Seyednasrollah, B.[Bijan],
Milliman, T.[Thomas],
Richardson, A.D.[Andrew D.],
Data extraction from digital repeat photography using xROI:
An interactive framework to facilitate the process,
PandRS(152), 2019, pp. 132-144.
Elsevier DOI
1905
Digital repeat photography, xROI, ROI, Time-series, Phenology, PhenoCam
BibRef
Stöcker, C.[Claudia],
Ho, S.[Serene],
Nkerabigwi, P.[Placide],
Schmidt, C.[Cornelia],
Koeva, M.[Mila],
Bennett, R.[Rohan],
Zevenbergen, J.[Jaap],
Unmanned Aerial System Imagery, Land Data and User Needs:
A Socio-Technical Assessment in Rwanda,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Sun, J.,
Zhang, Y.,
Wu, Z.,
Zhu, Y.,
Yin, X.,
Ding, Z.,
Wei, Z.,
Plaza, J.,
Plaza, A.,
An Efficient and Scalable Framework for Processing Remotely Sensed
Big Data in Cloud Computing Environments,
GeoRS(57), No. 7, July 2019, pp. 4294-4308.
IEEE DOI
1907
Remote sensing, Task analysis, Cloud computing,
Processor scheduling, Big Data, Optimization, Training,
task scheduling
BibRef
Doukari, M.[Michaela],
Batsaris, M.[Marios],
Papakonstantinou, A.[Apostolos],
Topouzelis, K.[Konstantinos],
A Protocol for Aerial Survey in Coastal Areas Using UAS,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Hou, Z.W.[Zhi-Wei],
Qin, C.Z.[Cheng-Zhi],
Zhu, A.X.[A-Xing],
Liang, P.[Peng],
Wang, Y.J.[Yi-Jie],
Zhu, Y.Q.A.[Yun-Qi-Ang],
From Manual to Intelligent: A Review of Input Data Preparation
Methods for Geographic Modeling,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Perko, R.[Roland],
Raggam, H.[Hannes],
Roth, P.M.[Peter M.],
Mapping with Pléiades: End-to-End Workflow,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
BibRef
He, Y.H.[Yu-Hong],
Yang, J.[Jian],
Caspersen, J.[John],
Jones, T.[Trevor],
An Operational Workflow of Deciduous-Dominated Forest Species
Classification: Crown Delineation, Gap Elimination, and Object-Based
Classification,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Siegmann, B.[Bastian],
Alonso, L.[Luis],
Celesti, M.[Marco],
Cogliati, S.[Sergio],
Colombo, R.[Roberto],
Damm, A.[Alexander],
Douglas, S.[Sarah],
Guanter, L.[Luis],
Hanuš, J.[Jan],
Kataja, K.[Kari],
Kraska, T.[Thorsten],
Matveeva, M.[Maria],
Moreno, J.[Jóse],
Muller, O.[Onno],
Pikl, M.[Miroslav],
Pinto, F.[Francisco],
Vargas, J.Q.[Juan Quirós],
Rademske, P.[Patrick],
Rodriguez-Morene, F.[Fernando],
Sabater, N.[Neus],
Schickling, A.[Anke],
Schüttemeyer, D.[Dirk],
Zemek, F.[František],
Rascher, U.[Uwe],
The High-Performance Airborne Imaging Spectrometer HyPlant: From Raw
Images to Top-of-Canopy Reflectance and Fluorescence Products:
Introduction of an Automatized Processing Chain,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Rist, F.[Florian],
Gabriel, D.[Doreen],
Mack, J.[Jennifer],
Steinhage, V.[Volker],
Töpfer, R.[Reinhard],
Herzog, K.[Katja],
Combination of an Automated 3D Field Phenotyping Workflow and
Predictive Modelling for High-Throughput and Non-Invasive Phenotyping
of Grape Bunches,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Lv, Y.[Yafei],
Zhang, X.H.[Xiao-Han],
Xiong, W.[Wei],
Cui, Y.[Yaqi],
Cai, M.[Mi],
An End-to-End Local-Global-Fusion Feature Extraction Network for
Remote Sensing Image Scene Classification,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Sedona, R.[Rocco],
Cavallaro, G.[Gabriele],
Jitsev, J.[Jenia],
Strube, A.[Alexandre],
Riedel, M.[Morris],
Benediktsson, J.A.[Jón Atli],
Remote Sensing Big Data Classification with High Performance
Distributed Deep Learning,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Chen, Y.X.[Ya-Xin],
Xu, M.Z.[Miao-Zhong],
Shen, X.[Xin],
Zhang, G.[Guo],
Lu, Z.Z.[Ze-Zhong],
Xu, J.F.[Jun-Fei],
A Multi-Objective Modeling Method of Multi-Satellite Imaging Task
Planning for Large Regional Mapping,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Deibe, D.[David],
Amor, M.[Margarita],
Doallo, R.[Ramón],
Big Data Geospatial Processing for Massive Aerial LiDAR Datasets,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Sun, Z.H.[Zi-Heng],
Di, L.P.[Li-Ping],
Burgess, A.[Annie],
Tullis, J.A.[Jason A.],
Magill, A.B.[Andrew B.],
Geoweaver: Advanced Cyberinfrastructure for Managing Hybrid
Geoscientific AI Workflows,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Moreno-Marimbaldo, F.J.[Francisco-Javier],
Manso-Callejo, M.Á.[Miguel-Ángel],
Methodological Approach to Incorporate the Involve of Stakeholders in
the Geodesign Workflow of Transmission Line Projects,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Shiratori, S.[Shota],
Fujimoto, Y.[Yuichiro],
Fujita, K.[Kinya],
Predicting Uninterruptible Durations of Office Workers by Using
Probabilistic Work Continuance Model,
IEICE(E103-D), No. 4, April 2020, pp. 838-849.
WWW Link.
2004
BibRef
Blanch, X.[Xabier],
Abellan, A.[Antonio],
Guinau, M.[Marta],
Point Cloud Stacking: A Workflow to Enhance 3D Monitoring
Capabilities Using Time-Lapse Cameras,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Bebortta, S.[Sujit],
Das, S.K.[Saneev Kumar],
Kandpal, M.[Meenakshi],
Barik, R.K.[Rabindra Kumar],
Dubey, H.[Harishchandra],
Geospatial Serverless Computing:
Architectures, Tools and Future Directions,
IJGI(9), No. 5, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Tamiminia, H.[Haifa],
Salehi, B.[Bahram],
Mahdianpari, M.[Masoud],
Quackenbush, L.J.[Lindi J.],
Adeli, S.[Sarina],
Brisco, B.[Brian],
Google Earth Engine for geo-big data applications:
A meta-analysis and systematic review,
PandRS(164), 2020, pp. 152-170.
Elsevier DOI
2005
Google Earth Engine, Geo-big data, Cloud-based platform,
Remote sensing, Planetary-scale, Geospatial, Machine learning,
Environmental monitoring
BibRef
Ghorbanian, A.[Arsalan],
Kakooei, M.[Mohammad],
Amani, M.[Meisam],
Mahdavi, S.[Sahel],
Mohammadzadeh, A.[Ali],
Hasanlou, M.[Mahdi],
Improved land cover map of Iran using Sentinel imagery within Google
Earth Engine and a novel automatic workflow for land cover
classification using migrated training samples,
PandRS(167), 2020, pp. 276-288.
Elsevier DOI
2008
Land cover classification, Sentinel, Google Earth Engine,
Big data, Remote sensing, Iran
BibRef
Alkadri, M.F.[Miktha Farid],
de Luca, F.[Francesco],
Turrin, M.[Michela],
Sariyildiz, S.[Sevil],
A Computational Workflow for Generating A Voxel-Based Design Approach
Based on Subtractive Shading Envelopes and Attribute Information of
Point Cloud Data,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Farella, E.M.[Elisa Mariarosaria],
Torresani, A.[Alessandro],
Remondino, F.[Fabio],
Refining the Joint 3D Processing of Terrestrial and UAV Images Using
Quality Measures,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Kammerhofer, D.[David],
Scholz, J.[Johannes],
An Approach to Decompose and Evaluate a Complex GIS-Application
Design to a Simple, Lightweight, User-Centered App-Based Design Using
User Experience Evaluation,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Deininger, M.E.[Martina E.],
von der Grün, M.[Maximilian],
Piepereit, R.[Raul],
Schneider, S.[Sven],
Santhanavanich, T.[Thunyathep],
Coors, V.[Volker],
Voß, U.[Ursula],
A Continuous, Semi-Automated Workflow: From 3D City Models with
Geometric Optimization and CFD Simulations to Visualization of Wind
in an Urban Environment,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Tao, W.,
Hua, X.,
Yu, K.,
Chen, X.,
Zhao, B.,
A Pipeline for 3-D Object Recognition Based on Local Shape
Description in Cluttered Scenes,
GeoRS(59), No. 1, January 2021, pp. 801-816.
IEEE DOI
2012
Object recognition, Shape, Clutter,
Indexes, Histograms, Pipelines, Clutter, local reference frame (LRF),
point cloud
BibRef
ul Hussnain, M.Q.[Muhammad Qadeer],
Waheed, A.[Abdul],
Wakil, K.[Khydija],
Jabbar, J.A.[Junaid Abdul],
Pettit, C.J.[Christopher James],
Tahir, A.[Ali],
Evaluating a Workflow Tool for Simplifying Scenario Planning with the
Online WhatIf? Planning Support System,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Apollonio, F.I.[Fabrizio Ivan],
Fantini, F.[Filippo],
Garagnani, S.[Simone],
Gaiani, M.[Marco],
A Photogrammetry-Based Workflow for the Accurate 3D Construction and
Visualization of Museums Assets,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Šecerov, I.[Ivan],
Popov, S.[Srdan],
Sladojevic, S.[Srdan],
Milin, D.[Dragana],
Lazic, L.[Lazar],
Miloševic, D.[Dragan],
Arsenovic, D.[Daniela],
Savic, S.[Stevan],
Achieving High Reliability in Data Acquisition,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Mancini, F.[Francesco],
Grassi, F.[Francesca],
Cenni, N.[Nicola],
A Workflow Based on SNAP-StaMPS Open-Source Tools and GNSS Data for
PSI-Based Ground Deformation Using Dual-Orbit Sentinel-1 Data:
Accuracy Assessment with Error Propagation Analysis,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Rezník, T.[Tomáš],
Chytrý, J.[Jan],
Trojanová, K.[Katerina],
Machine Learning-Based Processing Proof-of-Concept Pipeline for
Semi-Automatic Sentinel-2 Imagery Download, Cloudiness Filtering,
Classifications, and Updates of Open Land Use/Land Cover Datasets,
IJGI(10), No. 2, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Li, X.X.[Xiu-Xia],
Liang, S.L.[Shun-Lin],
Jin, H.[Huaan],
An Effective Method for Generating Spatiotemporally Continuous 30 m
Vegetation Products,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Schramm, M.[Matthias],
Pebesma, E.[Edzer],
Milenkovic, M.[Milutin],
Foresta, L.[Luca],
Dries, J.[Jeroen],
Jacob, A.[Alexander],
Wagner, W.[Wolfgang],
Mohr, M.[Matthias],
Neteler, M.[Markus],
Kadunc, M.[Miha],
Miksa, T.[Tomasz],
Kempeneers, P.[Pieter],
Verbesselt, J.[Jan],
Gößwein, B.[Bernhard],
Navacchi, C.[Claudio],
Lippens, S.[Stefaan],
Reiche, J.[Johannes],
The openEO API-Harmonising the Use of Earth Observation Cloud
Services Using Virtual Data Cube Functionalities,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Shi, Z.[Zhen],
Zhao, Y.[Yong],
He, F.[Fei],
Yao, Z.H.[Zhong-Hua],
Rong, Z.J.[Zhao-Jin],
Wei, Y.[Yong],
Automatic Scheduling Tool for Balloon-Borne Planetary Optical Remote
Sensing,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Blanch, X.[Xabier],
Eltner, A.[Anette],
Guinau, M.[Marta],
Abellan, A.[Antonio],
Multi-Epoch and Multi-Imagery (MEMI) Photogrammetric Workflow for
Enhanced Change Detection Using Time-Lapse Cameras,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Zhou, X.H.[Xiao-Hua],
Wang, X.Z.[Xue-Zhi],
Zhou, Y.C.[Yuan-Chun],
Lin, Q.H.[Qing-Hui],
Zhao, J.H.[Jiang-Hua],
Meng, X.H.[Xiang-Hai],
RSIMS: Large-Scale Heterogeneous Remote Sensing Images Management
System,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Hua, Y.S.[Yuan-Sheng],
Mou, L.C.[Li-Chao],
Lin, J.Z.[Jian-Zhe],
Heidler, K.[Konrad],
Zhu, X.X.[Xiao Xiang],
Aerial scene understanding in the wild:
Multi-scene recognition via prototype-based memory networks,
PandRS(177), 2021, pp. 89-102.
Elsevier DOI
2106
Convolutional neural network (CNN),
Multi-scene recognition in single images, Memory network,
Prototype learning
BibRef
Iandelli, N.[Niccolò],
Coli, M.[Massimo],
Donigaglia, T.[Tessa],
Ciuffreda, A.L.[Anna Livia],
An Unconventional Field Mapping Application: A Complete Opensource
Workflow Solution Applied to Lithological Mapping of the Coatings of
Cultural Heritage,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Kavaliauskas, P.[Paulius],
Židanavicius, D.[Daumantas],
Jurelionis, A.[Andrius],
Geometric Accuracy of 3D Reality Mesh Utilization for BIM-Based
Earthwork Quantity Estimation Workflows,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Wang, Z.C.[Zhi-Chao],
Zhang, X.Y.[Xiao-Yuan],
Zheng, J.[Jun],
Zhao, Y.[Yao],
Wang, J.[Jia],
Schmullius, C.[Christiane],
Design of a Generic Virtual Measurement Workflow for Processing
Archived Point Cloud of Trees and Its Implementation of Light
Condition Measurements on Stems,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Vong, A.[André],
Matos-Carvalho, J.P.[João P.],
Toffanin, P.[Piero],
Pedro, D.[Dário],
Azevedo, F.[Fábio],
Moutinho, F.[Filipe],
Garcia, N.C.[Nuno Cruz],
Mora, A.[André],
How to Build a 2D and 3D Aerial Multispectral Map?: All Steps Deeply
Explained,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Carrer, D.[Dominique],
Meurey, C.[Catherine],
Hagolle, O.[Olivier],
Bigeard, G.[Guillaume],
Paci, A.[Alexandre],
Donier, J.M.[Jean-Marie],
Bergametti, G.[Gilles],
Bergot, T.[Thierry],
Calvet, J.C.[Jean-Christophe],
Goloub, P.[Philippe],
Victori, S.[Stéphane],
Wang, Z.[Zhuosen],
Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network
of Ground Measurements Dedicated to the Monitoring of Surface Properties?,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Zapico, I.[Ignacio],
Laronne, J.B.[Jonathan B.],
Castillo, L.S.[Lázaro Sánchez],
Duque, J.F.M.[José F. Martín],
Improvement of Workflow for Topographic Surveys in Long Highwalls of
Open Pit Mines with an Unmanned Aerial Vehicle and Structure from
Motion,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Deng, M.[Min],
Liu, B.J.[Bao-Ju],
Li, S.[Sumin],
Du, R.H.[Rong-Hua],
Wu, G.H.[Guo-Hua],
Li, H.F.[Hai-Feng],
Wang, L.[Ling],
A Two-Phase Coordinated Planning Approach for Heterogeneous
Earth-Observation Resources to Monitor Area Targets,
SMCS(51), No. 10, October 2021, pp. 6388-6403.
IEEE DOI
2109
Planning, Task analysis, Satellites, Resource management, Monitoring,
Optimization, Area target decomposition,
task allocation
BibRef
Zhao, Q.[Qiang],
Yu, L.[Le],
Li, X.C.[Xue-Cao],
Peng, D.L.[Dai-Liang],
Zhang, Y.G.[Yong-Guang],
Gong, P.[Peng],
Progress and Trends in the Application of Google Earth and Google
Earth Engine,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Hou, Z.W.[Zhi-Wei],
Qin, C.Z.[Cheng-Zhi],
Zhu, A.X.[A-Xing],
Wang, Y.J.[Yi-Jie],
Liang, P.[Peng],
Wang, Y.J.[Yu-Jing],
Zhu, Y.Q.[Yun-Qiang],
Formalizing Parameter Constraints to Support Intelligent
Geoprocessing: A SHACL-Based Method,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Frazier, A.E.[Amy E.],
Hemingway, B.L.[Benjamin L.],
A Technical Review of Planet Smallsat Data:
Practical Considerations for Processing and Using PlanetScope Imagery,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Rosier, I.[Ine],
Diels, J.[Jan],
Somers, B.[Ben],
van Orshoven, J.[Jos],
A Workflow to Extract the Geometry and Type of Vegetated Landscape
Elements from Airborne LiDAR Point Clouds,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Eischeid, I.[Isabell],
Soininen, E.M.[Eeva M.],
Assmann, J.J.[Jakob J.],
Ims, R.A.[Rolf A.],
Madsen, J.[Jesper],
Pedersen, Å.Ø.[Åshild Ø.],
Pirotti, F.[Francesco],
Yoccoz, N.G.[Nigel G.],
Ravolainen, V.T.[Virve T.],
Disturbance Mapping in Arctic Tundra Improved by a Planning Workflow
for Drone Studies: Advancing Tools for Future Ecosystem Monitoring,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Ortiz-Villarejo, A.J.[Antonio J.],
Soler, L.M.G.[Luís-M. Gutiérrez],
A Low-Cost, Easy-Way Workflow for Multi-Scale Archaeological Features
Detection Combining LiDAR and Aerial Orthophotography,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Svendsen, D.H.[Daniel Heestermans],
Piles, M.[Maria],
Muñoz-Marí, J.[Jordi],
Luengo, D.[David],
Martino, L.[Luca],
Camps-Valls, G.[Gustau],
Integrating Domain Knowledge in Data-Driven Earth Observation With
Process Convolutions,
GeoRS(60), 2022, pp. 1-15.
IEEE DOI
2112
Data models, Mathematical model, Time series analysis,
Biological system modeling, Microwave radiometry, Remote sensing,
time series analysis
BibRef
Ha, T.[Thuan],
Duddu, H.[Hema],
Bett, K.[Kirstin],
Shirtliffe, S.J.[Steve J.],
A Semi-Automatic Workflow to Extract Irregularly Aligned Plots and
Sub-Plots: A Case Study on Lentil Breeding Populations,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Pakdil, M.E.[Mete Ercan],
Çelik, R.N.[Rahmi Nurhan],
Serverless Geospatial Data Processing Workflow System Design,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Feoktistov, A.[Alexander],
Gorsky, S.[Sergey],
Kostromin, R.[Roman],
Fedorov, R.[Roman],
Bychkov, I.[Igor],
Integration of Web Processing Services with Workflow-Based Scientific
Applications for Solving Environmental Monitoring Problems,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Kempeneers, P.[Pieter],
Kliment, T.[Tomas],
Marletta, L.[Luca],
Soille, P.[Pierre],
Parallel Processing Strategies for Geospatial Data in a Cloud
Computing Infrastructure,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Nezhad, M.M.[Meysam Majidi],
Neshat, M.[Mehdi],
Piras, G.[Giuseppe],
Garcia, D.A.[Davide Astiaso],
Sylaios, G.[Georgios],
Marine Online Platforms of Services to Public End-Users:
The Innovation of the ODYSSEA Project,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Gu, X.W.[Xiao-Wei],
Angelov, P.P.[Plamen P.],
Zhang, C.[Ce],
Atkinson, P.M.[Peter M.],
A Semi-Supervised Deep Rule-Based Approach for Complex Satellite
Sensor Image Analysis,
PAMI(44), No. 5, May 2022, pp. 2281-2292.
IEEE DOI
2204
Satellites, Image segmentation, Feature extraction, Semantics,
Semisupervised learning, Mathematical model, Prototypes,
semi-supervised learning
BibRef
Gencarelli, C.N.[Christian Natale],
Voltolina, D.[Debora],
Hammouti, M.[Mohammed],
Zazzeri, M.[Marco],
Sterlacchini, S.[Simone],
Geospatial Information Technologies for Mobile Collaborative
Geological Mapping: The Italian CARG Project Case Study,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Lin, M.[Mingsen],
Jia, Y.J.[Yong-Jun],
Past, Present and Future Marine Microwave Satellite Missions in China,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Wu, J.[Jin],
Wu, M.B.[Ming-Bo],
Li, H.Y.[Hai-Yan],
Li, L.J.[Li-Juan],
Li, L.L.[Lei-Lei],
A Serverless-Based, On-the-Fly Computing Framework for Remote Sensing
Image Collection,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Questad, E.J.[Erin J.],
Antill, M.[Marlee],
Liu, N.F.[Nan-Feng],
Stavros, E.N.[E. Natasha],
Townsend, P.A.[Philip A.],
Bonfield, S.[Susan],
Schimel, D.[David],
A Camera-Based Method for Collecting Rapid Vegetation Data to Support
Remote-Sensing Studies of Shrubland Biodiversity,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Casal, G.[Gema],
Cordeiro, C.[Clara],
McCarthy, T.[Tim],
Using Satellite-Based Data to Facilitate Consistent Monitoring of the
Marine Environment around Ireland,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Hagos, D.H.[Desta Haileselassie],
Kakantousis, T.[Theofilos],
Sheikholeslami, S.[Sina],
Wang, T.Z.[Tian-Ze],
Vlassov, V.[Vladimir],
Payberah, A.H.[Amir Hossein],
Meister, M.[Moritz],
Andersson, R.[Robin],
Dowling, J.[Jim],
Scalable Artificial Intelligence for Earth Observation Data Using
Hopsworks,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Martellato, E.[Elena],
Piccirillo, A.M.[Alice Maria],
Ferraioli, G.[Giampaolo],
Rotundi, A.[Alessandra],
Corte, V.D.[Vincenzo Della],
Palumbo, P.[Pasquale],
Alcaras, E.[Emanuele],
Appolloni, L.[Luca],
Aulicino, G.[Giuseppe],
Bertini, I.[Ivano],
Capozzi, V.[Vincenzo],
Catucci, E.[Elena],
Dionnet, Z.[Zelia],
di Palma, P.[Pasquale],
Esposito, F.[Flavio],
Ferrentino, E.[Emanuele],
Innac, A.[Anna],
Inno, L.[Laura],
Pennino, S.[Silvia],
Saviano, S.[Simona],
Tirimberio, G.[Giuseppina],
Campopiano, S.[Stefania],
Chianese, E.[Elena],
Franzese, P.P.[Pier Paolo],
Fusco, G.[Giannetta],
Gaglione, S.[Salvatore],
Iadicicco, A.[Agostino],
Nunziata, F.[Ferdinando],
Parente, C.[Claudio],
Piscopo, V.[Vincenzo],
Riccio, A.[Angelo],
Russo, G.F.[Giovanni Fulvio],
Zambianchi, E.[Enrico],
A New Orbiting Deployable System for Small Satellite Observations for
Ecology and Earth Observation,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Li, Z.L.[Zhi-Liang],
Zhao, L.M.[Li-Min],
Liu, Y.[Yun],
Chen, X.F.[Xing-Feng],
Chen, H.[Hang],
Zheng, F.J.[Feng-Jie],
Zhang, Y.L.[Yun-Li],
Wang, D.H.[Dong-Hong],
Li, J.G.[Jia-Guo],
Liu, J.[Jun],
Liu, S.[Shumin],
Autonomous Mission Planning Method for Optical Imaging Satellites
Based on Real-Time Cloud Cover Information,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Li, S.Q.[Sheng-Qi],
Han, X.Z.[Xiu-Zhen],
Weng, F.Z.[Fu-Zhong],
Monitoring Land Vegetation from Geostationary Satellite Advanced
Himawari Imager (AHI),
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Ferreira, B.[Bruno],
Silva, R.G.[Rui G.],
Iten, M.[Muriel],
Earth Observation Satellite Imagery Information Based Decision
Support Using Machine Learning,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Feng, J.[Jiangfan],
Wang, D.[Dini],
Gu, Z.[Zhujun],
Bidirectional Flow Decision Tree for Reliable Remote Sensing Image
Scene Classification,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Howe, C.[Cassandra],
Tullis, J.A.[Jason A.],
Context for Reproducibility and Replicability in Geospatial Unmanned
Aircraft Systems,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Ballesteros, J.R.[John R.],
Sanchez-Torres, G.[German],
Branch-Bedoya, J.W.[John W.],
A GIS Pipeline to Produce GeoAI Datasets from Drone Overhead Imagery,
IJGI(11), No. 10, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Guo, L.H.[Ling-Hui],
Zhao, S.[Sha],
Gao, J.B.[Jiang-Bo],
Zhang, H.[Hebing],
Zou, Y.[Youfeng],
Xiao, X.M.[Xiang-Ming],
A Novel Workflow for Crop Type Mapping with a Time Series of
Synthetic Aperture Radar and Optical Images in the Google Earth
Engine,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Varga, L.A.[Leon Amadeus],
Koch, S.[Sebastian],
Zell, A.[Andreas],
Comprehensive Analysis of the Object Detection Pipeline on UAVs,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Wang, H.[Han],
Xuan, Y.Q.[Yun-Qing],
A Spatial Pattern Extraction and Recognition Toolbox Supporting
Machine Learning Applications on Large Hydroclimatic Datasets,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Raco, F.,
Stefani, M.,
Balzani, M.,
Ferrari, L.,
Towards Effective Project Documentation, Transparency, and Data-Driven
Decision-making Through BIM-Blockchain Based Applications,
SmartCityApp21(437-444).
DOI Link
2201
BibRef
Zhao, H.T.,
Gao, W.C.,
Jing, C.F.,
Li, X.F.,
A Full Life Data Quality Workflow Research and Project Practice,
ISPRS21(B4-2021: 327-332).
DOI Link
2201
BibRef
Bouziani, M.,
Mouatassim, H.,
Fadl, K.,
Nouari, H.,
Development of a BIM Infrastructure Workflow Adapted To Facilities Of
Land Subdivision Projects in Morocco,
SmartCityApp21(119-123).
DOI Link
2201
BibRef
Spallone, R.,
López González, M.C.,
Vitali, M.,
Bertola, G.,
Natta, F.,
Ronco, F.,
From Survey to 3d Modelling to Digital Fabrication. a Workflow Aimed at
Documenting and Transmitting Built Heritage,
ISPRS21(B2-2021: 619-626).
DOI Link
2201
BibRef
Cucchetti, E.,
Latry, C.,
Blanchet, G.,
Delvit, J.M.,
Bruno, M.,
Onboard/On-Ground Image Processing Chain for High-resolution Earth
Observation Satellites,
ISPRS21(B3-2021: 755-762).
DOI Link
2201
BibRef
Lucidi, A.,
Giordano, E.,
Clementi, F.,
Quattrini, R.,
Point Cloud Exploitation for Structural Modeling and Analysis:
A Reliable Workflow,
ISPRS21(B2-2021: 891-898).
DOI Link
2201
BibRef
Melet, O.,
Youssefi, D.,
L'Helguen, C.,
Michel, J.,
Sarrazin, E.,
Languille, F.,
Lebègue, L.,
CO3D Mission Digital Surface Model Production Pipeline,
ISPRS20(B2:143-148).
DOI Link
2012
BibRef
Swaine, M.,
Smit, C.,
Tripodi, S.,
Fonteix, G.,
Tarabalka, Y.,
Laurore, L.,
Hyland, J.,
Operational Pipeline for A Global Cloud-free Mosaic and Classification
Of Sentinel-2 Images,
ISPRS20(B3:195-200).
DOI Link
2012
BibRef
Evers, M.,
Hammer, H.,
Thiele, A.,
Schulz, K.,
Strategies for PS Processing of Large Sentinel-1 Datasets,
ISPRS20(B1:99-106).
DOI Link
2012
BibRef
Tachi, T.,
Wang, Y.,
Abe, R.,
Kato, T.,
Maebashi, N.,
Kishimoto, N.,
Development of Versatile Mobile Mapping System on A Small Scale,
ISPRS20(B1:271-275).
DOI Link
2012
BibRef
Li, X.M.,
Wang, W.X.,
Tang, S.J.,
Xia, J.Z.,
Zhao, Z.G.,
Li, Y.,
Zheng, Y.,
Guo, R.Z.,
A New Cloud-edge-terminal Resources Collaborative Scheduling Framework
For Multi-level Visualization Tasks of Large-scale Spatio-temporal Data,
ISPRS20(B4:477-483).
DOI Link
2012
BibRef
Buuveibaatar, M.,
Kim, M.G.,
Shin, S.P.,
Towards Application of Landinfra Standard for Highway Management In
Korea,
ISPRS20(B4:435-439).
DOI Link
2012
BibRef
Holland, D.A.,
Hurst, I.,
Heathcote, G.,
Horgan, J.,
Capstick, D.,
The Changing Nature of Geospatial Data:
Challenges for A National Mapping Agency,
ISPRS20(B5:179-183).
DOI Link
2012
BibRef
Xi, K.,
Duan, Y.,
AMS-3000 Large Field View Aerial Mapping System:
Basic Principles And The Workflow,
ISPRS20(B1:79-84).
DOI Link
2012
BibRef
Ye, J.M.[Jun-Min],
Ni, Y.[Yabo],
He, Y.M.[You-Min],
Wang, R.X.[Ruo-Xi],
Jin, C.[Cong],
Hao, G.Q.[Guang-Quan],
The design and implementation of a Visual Workflow Modeling tool based
on Eclipse plug-ins,
IASP11(572-577).
IEEE DOI
1112
BibRef
Dubucq, D.,
Audebert, N.,
Achard, V.,
Alakian, A.,
Fabre, S.,
Credoz, A.,
Deliot, P.,
Le Saux, B.,
A Real-world Hyperspectral Image Processing Workflow for Vegetation
Stress and Hydrocarbon Indirect Detection,
ISPRS20(B3:395-400).
DOI Link
2012
BibRef
Murray, J.,
Sargent, I.,
Holland, D.,
Gardiner, A.,
Dionysopoulou, K.,
Coupland, S.,
Hare, J.,
Zhang, C.,
Atkinson, P.M.,
Opportunities for Machine Learning and Artificial Intelligence In
National Mapping Agencies: Enhancing Ordnance Survey Workflow,
ISPRS20(B5:185-189).
DOI Link
2012
BibRef
Zhang, K.,
Snavely, N.,
Sun, J.,
Leveraging Vision Reconstruction Pipelines for Satellite Imagery,
3D-Wild19(2139-2148)
IEEE DOI
2004
computer vision, image reconstruction, remote sensing,
solid modelling, stereo image processing, satellite imagery,
Remote Sensing
BibRef
Li, J.M.,
Li, C.R.,
Su, G.Z.,
Li, W.,
Ma, L.L.,
Liu, Y.K.,
Mapping System and Photogrammetric Processing Method for Tethered
Balloon Platform,
PIA19(157-161).
DOI Link
1912
BibRef
Olsson, P.O.,
Johansson, T.,
Eriksson, H.,
Lithén, T.,
Bengtsson, L.H.,
Axelsson, J.,
Roos, U.,
Neland, K.,
Rydén, B.,
Harrie, L.,
Unbroken Digital Data Flow in The Built Environment Process - a Case
Study in Sweden,
SmartGeoApps19(1347-1352).
DOI Link
1912
BibRef
Radford, C.R.,
Bevan, G.,
A Calibration Workflow for 'Prosumer' UAV Cameras,
UAV-g19(553-558).
DOI Link
1912
BibRef
Ajmar, A.,
Arco, E.,
Boccardo, P.,
Road Network Comparison and Matching Techniques. a Workflow Proposal
For The Integration of Traffic Message Channel and Open Source Network
Datasets,
C3MGBD19(1503-1509).
DOI Link
1912
BibRef
Herbig, U.,
Stampfer, L.,
Grandits, D.,
Mayer, I.,
Pöchtrager, M.,
Ikaputra,
Setyastuti, A.,
Developing a Monitoring Workflow for The Temples of Java,
CIPA19(555-562).
DOI Link
1912
BibRef
Sammartano, G.,
Spanò, A.,
Teppati Losè, L.,
A Fusion-based Workflow for Turning Slam Point Clouds and Fisheye Data
Into Texture-enhanced 3d Models,
LC3D19(295-302).
DOI Link
1912
BibRef
Pamart, A.,
Morlet, F.,
de Luca, L.,
A Fully Automated Incremental Photogrammetric Processing Dedicated For
Collaborative Remote-computing Workflow,
3DARCH19(565-571).
DOI Link
1904
BibRef
Previtali, M.[Mattia],
Banfi, F.[Fabrizio],
Towards the Definition of Workflows for Automation in HBIM Generation,
EuroMed18(I:52-63).
Springer DOI
1811
BibRef
Federman, A.,
Santana Quintero, M.,
Kretz, S.,
Gregg, J.,
Lengies, M.,
Ouimet, C.,
Laliberte, J.,
UAV Photgrammetric Workflows: A Best Practice Guideline,
CIPA17(237-244).
DOI Link
1805
BibRef
Gonizzi Barsanti, S.,
Guidi, G.,
A Geometric Processing Workflow for Transforming Reality-based 3d
Models in Volumetric Meshes Suitable for FEA,
3DARCH17(331-338).
DOI Link
1805
Finite Element Analysis.
BibRef
Santana Quintero, M.,
Harnessing Digital Workflows for Conserving Historic Places,
GeomCultural17(9-14).
DOI Link
1805
BibRef
Pfarr-Harfst, M.[Mieke],
Typical Workflows, Documentation Approaches and Principles of 3D
Digital Reconstruction of Cultural Heritage,
3DHeritage16(32-46).
Springer DOI
1611
BibRef
Yu, H.[Huai],
Yan, T.H.[Tian-Heng],
Yang, W.[Wen],
Zheng, H.[Hong],
An Integrative Object-based Image Analysis Workflow For UAV Images,
ISPRS16(B1: 1085-1091).
DOI Link
1610
BibRef
Anca, P.,
Calugaru, A.,
Alixandroae, I.,
Nazarie, R.,
A Workflow For UAV's Integration Into A Geodesign Platform,
ISPRS16(B1: 1099-1103).
DOI Link
1610
BibRef
Proctor, C.,
He, Y.,
Workflow for Building a Hyperspectral UAV: Challenges and Opportunities,
UAV-g15(415-419).
DOI Link
1512
BibRef
Meijer, M.,
Vullings, L.A.E.,
Bulens, J.D.,
Rip, F.I.,
Boss, M.,
Hazeu, G.,
Storm, M.,
Spatial Data Quality and a Workflow Tool,
ISSDQ15(55-59).
DOI Link
1602
BibRef
Sun, Z.,
Cao, Y.K.,
Data processing workflows from low-cost digital survey to various
applications: three case studies of Chinese historic architecture,
CIPA15(409-416).
DOI Link
1508
BibRef
Markelin, L.,
Honkavaara, E.,
Näsi, R.,
Nurminen, K.,
Hakala, T.,
Geometric processing workflow for vertical and oblique hyperspectral
frame images collected using UAV,
PCV14(205-210).
DOI Link
1404
BibRef
Hong, J.H.,
Huang, M.L.,
The Design of Intelligent Workflow for GIS Functions:
A Data Quality Perspective,
ISSDQ13(47-52).
HTML Version.
1311
BibRef
Holland, D.,
Gladstone, C.,
Sargent, I.,
Horgan, J.,
Gardiner, A.,
Freeman, M.,
Automating The Photogrammetric Workflow In A National Mapping Agency,
AnnalsPRS(I-4), No. 2012, pp. 83-88.
HTML Version.
1209
BibRef
Lübker, T.,
Schaab, G.,
A Work-Flow Design for Large-Area Multilevel Geobia:
Integrating Statistical Measures and Expert Knowledge,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Zhang, Y.G.[Yan-Gu],
Chen, S.P.[Sai-Ping],
Shen, B.[Bin],
Modeling and analysis using Knowledge-flow and workflow based eXtended
Time WorkFlow-net,
IASP09(351-357).
IEEE DOI
0904
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Remote Sensing Hardware Implementations, Vehicles, UAV Systems, Drones, UAS .