GDAL

The geography of rock glaciers in the American West

Trcka, A. R., Fountain, A. G., & Glenn, B. (2025) · Arctic Antarctic and Alpine Research · doi:10.1080/15230430.2025.2546699 · Cited by 2

Modelling runoff in a glacierized catchment: the role of forcing product and spatial model resolution

von der Esch, A., Huss, M., Tiel, M. V., Berg, J., & Farinotti, D. (2025) · Hydrology and earth system sciences · doi:10.5194/hess-29-6761-2025 · Cited by 2

Automated Impact Melt Fracture Mapping on the Moon With Weakly Supervised Deep Learning

Corre, D. L., Mason, N. J., Bernard-Salas, J., Mary, D. L., & Cox, N. L. J. (2025) · Journal of Geophysical Research Planets · doi:10.1029/2025je009145 · Cited by 2

Fusing Multi‐ and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring With Self‐Supervised and Hierarchical Deep Learning

LaHaye, N., Luis, K. M. A., & Gierach, M. M. (2026) · Earth and Space Science · doi:10.1029/2025ea004881 · Cited by 2

Early season detection of early blight (Alternaria solani) in potato crops using airborne hyperspectral imagery

Lam, O. H. Y., Gevens, A. J., Jordan, S. A., Heberlein, B. C., Hills, W. B., Özdoğan, M., & Townsend, P. A. (2026) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2026.05.008 · Cited by 2

MULTI-MODAL/MULTI-RESOLUTION 3D DATA ACQUISITION AND PROCESSING FOR A NEW UNDERSTANDING OF THE HISTORICAL CITY OF SIENA (ITALY)

Pansini, R., Güzel, S., Morelli, G., Barsuglia, F., Penno, G., Catanzariti, G., Merico, A., Carpentiero, M. G., Camporeale, S., & Campana, S. (2024) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xlviii-2-w4-2024-341-2024 · Cited by 2

OMEinfo: global geographic metadata for -omics experiments

Crown, M. R., & Bashton, M. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbae025 · Cited by 2

REHEATFUNQ (REgional HEAT-Flow Uncertainty and aNomaly Quantification) 2.0.1: a model for regional aggregate heat flow distributions and anomaly quantification

Ziebarth, M., & von Specht, S. (2024) · Geoscientific model development · doi:10.5194/gmd-17-2783-2024 · Cited by 2

Detection of snow disturbances in boreal forests using unitemporal airborne lidar data and aerial images

Räty, J., Kukkonen, M., Melin, M., Maltamo, M., & Packalén, P. (2024) · Forestry An International Journal of Forest Research · doi:10.1093/forestry/cpae057 · Cited by 2

Characterizing the extent of the oceanic 60–150 m deep mesophotic zone in Tuamotu-Gambier Archipelago atolls using multibeam bathymetry and geomorphology data

Andréfouët, S., Bruyère, O., Paul, M., Loubrieu, B., Gendre, R. L., & Barazer, J.-F. (2025) · Coral Reefs · doi:10.1007/s00338-025-02654-5 · Cited by 2

Stop-and-Go Trajectory Data of Disordered Traffic Using a Swarm of Unmanned Aerial Vehicles

Kumar, S., Agrawal, S., Asaithambi, G., Kanagaraj, V., & Treiber, M. (2025) · Transportation research procedia · doi:10.1016/j.trpro.2025.04.022 · Cited by 2

Regional-scale flood mapping using naive Bayes and remote sensing: towards local relevance

Kuchinski, V., & de Paiva, R. C. D. (2025) · Hydrological Sciences Journal · doi:10.1080/02626667.2025.2506749 · Cited by 2

BCUB – a large-sample ungauged basin attribute dataset for British Columbia, Canada

Kovacek, D., & Weijs, S. V. (2025) · Earth system science data · doi:10.5194/essd-17-259-2025 · Cited by 2

A revised digital edition of Wurm & Hattori’s Language Atlas of the Pacific Area

Forkel, R., & Hammarström, H. (2024) · Scientific Data · doi:10.1038/s41597-024-03816-w · Cited by 2

InsarViz: An open source Python package for the interactive visualization of satellite SAR interferometry data

Mouchené, M., Blanch, R., Pathier, E., Montel, R., & Thollard, F. (2024) · The Journal of Open Source Software · doi:10.21105/joss.06440 · Cited by 2

Building morphologies of the USA structures database; a gauntlet feature set

Hauser, T., Stipek, C. W., Singh, N., & Moehl, J. (2025) · Scientific Data · doi:10.1038/s41597-025-05925-6 · Cited by 2

Drones, Phones, and Stones: Visualization for Collaborative Digitization of Historic Cemeteries

Engel, D., & Rubinstein, J. (2023) · Practice and Experience in Advanced Research Computing · doi:10.1145/3569951.3603633 · Cited by 1

Spatio-Temporal Modelling of Fires in Sicily

D’Angelo, N., Albano, A., Gilardi, A., & Adelfio, G. (2025) · Springer eBooks · doi:10.1007/978-3-031-64350-7_60 · Cited by 1

Time series changes and influencing factors of fractional vegetation coverage under weed competition in wheat field ecosystems through remote sensing

Yang, G., He, Y., Zhou, Z., Ye, L., Fang, H., & Feng, X. (2025) · International Journal of Digital Earth · doi:10.1080/17538947.2025.2504134 · Cited by 1

Residential heating emissions for the Western Balkans

Asker, C., van Dongen, E., & Tasse, O. (2025) · Earth system science data · doi:10.5194/essd-17-3283-2025 · Cited by 1

Streamlining geospatial data processing for pluvial flood modeling and mitigation planning in urban environments

Bowsher, N. R., Sieker, H., & Hinkelmann, R. (2025) · Urban Water Journal · doi:10.1080/1573062x.2025.2560550 · Cited by 1

Water permanence and connectivity are key drivers of high-mountain pond communities along altitudinal gradients in the French Alps and Pyrenees

Lamouille‐Hébert, M., Arthaud, F., Besnard, A. G., Reynaud, N., Tormos, T., & Datry, T. (2025) · Hydrobiologia · doi:10.1007/s10750-025-06009-7 · Cited by 1

Data preparation and preprocessing

Maxwell, A. E., Ramezan, C. A., & He, Y. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-29306-1.00001-6 · Cited by 1

An integrated and visualized forest carbon storage estimation platform: Functional design and prototype implementation

Nian, Y., Zhang, H., Rao, P. S. C., Che, M., Wang, X., Zhang, W., & Chen, J. (2025) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2025.106749 · Cited by 1

Assessment of Snow Cover Fraction Parameterizations for High Resolution Snowpack Reanalyses

Sourp, L., Pedinotti, V., Alonso‐González, E., Jarlan, L., & Gascoin, S. (2026) · Hydrological Processes · doi:10.1002/hyp.70491 · Cited by 1

Canopy-mediated climate feedbacks in the boreal continuous permafrost zone

Stuenzi, S. M., Grosse, G., Miesner, F., Westermann, S., & Langer, M. (2026) · Nature Climate Change · doi:10.1038/s41558-026-02692-z · Cited by 1

LROC NAC-derived Meter-scale Topography of the Moon’s South Polar Landing Sites: Digital Terrain Models and Their Quality Assessments

Hemmi, R., Inoue, H., Kikuchi, H., Sato, H., Miyamoto, H., Otake, H., & Yamamoto, M. (2025) · The Planetary Science Journal · doi:10.3847/psj/ae10a4 · Cited by 1

PeatDepth-ML: a global map of peat depth predicted using machine learning

Skye, J., Melton, J. R., Goldblatt, C., Gallego-Sala, A. V., Garneau, M., & Winton, R. S. (2026) · Biogeosciences · doi:10.5194/bg-23-2959-2026 · Cited by 1

Translating short-form Python exercises to other programming languages using diverse prompting strategies

Piccolo, S., & Stevens, H. P. (2025) · GigaScience · doi:10.1093/gigascience/giaf149 · Cited by 1

FieldSAT: A Scalable Query Workflow for Precision Agriculture with Large Raster Datasets

Shang, Z., Eldawy, A., Scudiero, E., Dhungel, R., & Anderson, R. (2025) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/3748636.3764156 · Cited by 1

Web-Oriented software system for integrated access and preliminary analysis of Lunar geospatial data

Soloviev, A., Shevaldysheva, O., & Nikolova, Y. (2026) · Earth Science Informatics · doi:10.1007/s12145-026-02075-0 · Cited by 1

A Two‐Part Framework for Depth to Bedrock Prediction and Uncertainty Assessment in Sweden

Lin, Y., Peterson, G., Karlsson, C., Westphal, F., Lidberg, W., & Ågren, A. M. (2026) · European Journal of Soil Science · doi:10.1111/ejss.70308 · Cited by 1

Enhanced Topography Models for Selected Lunar South Pole Regions with Shape-from-Shading

Bertone, S., McKenna, T. E., Barker, M. K., Mazarico, E., Beyer, R. A., & Petro, N. E. (2026) · The Planetary Science Journal · doi:10.3847/psj/ae5b70 · Cited by 1

OSGEO, PERSISTENT IDENTIFIERS AND THE SHAPE OF THINGS TO COME

Löwe, P., & Neteler, M. (2022) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xlviii-4-w1-2022-287-2022 · Cited by 1

SITE CALIBRATION WITH PROJ AND WKT2

Shaw, J. J., Hernando, J., & Strecha, C. (2023) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xlviii-4-w7-2023-75-2023 · Cited by 1

Visualizing the Future of Louisiana’s Coastline

Yoder, M., & Puerto, J. (2023) · Practice and Experience in Advanced Research Computing · doi:10.1145/3569951.3597548 · Cited by 1

PDR: The Planetary Data Reader

Brown, S. V., Clair, M. S., Million, C., Curtis, S., Aye, K. M., & Weinberg, Z. (2024) · The Journal of Open Source Software · doi:10.21105/joss.07256 · Cited by 1

Formational Conditions of Ribbed Moraines in Norway: An Inventory and Distribution Analysis

Barnes, T. J., Schuler, T. V., Lilleøren, K. S., & (16911075), L. S. S. (2026) · Norwegian Journal of Geology · doi:10.17850/njg106-3-3 · Cited by 1

Future scenarios of albedo and radiative forcing resulting from changes in snow depth in AustriaPreprint

Kiem, J., Hammerle, A., Montagnani, L., & Wohlfahrt, G. (2024) · doi:10.5194/egusphere-2024-881 · Cited by 1

antimeridian: A Python package for correcting geometries that cross the 180th meridian

Gadomski, P. J., & Hartzell, P. (2025) · The Journal of Open Source Software · doi:10.21105/joss.07530 · Cited by 1

SEEDNet: Covariate-free multi-country settlement-level epidemiological estimates datasets for network analysis

Darooneh, A. H., Kortenaar, J., Goulart, C. M., McLaughlin, K., Cornelius, S. P., & Bassani, D. G. (2025) · Scientific Data · doi:10.1038/s41597-025-05143-0 · Cited by 1

Spatially explicit forest mortality forecasts are driven by autocorrelation, not ecological contextPreprint

Ganz, K. J., van Wagtendonk, L., Khatri‐Chhetri, P., & Moskal, L. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.19.689366 · Cited by 1

MeltwaterBench: Deep learning for spatiotemporal downscaling of surface meltwaterPreprint

Lütjens, B., Alexander, P., Antwerpen, R., Widmann, T., Cervone, G., & Tedesco, M. (2025) · arXiv (Cornell University) · doi:10.48550/arxiv.2512.12142 · Cited by 1

Automated 10-m Resolution In-season Crop-type Data Layer Mapping for Contiguous United States

Li, H., Di, L., Zhang, C., Guo, L., Yu, E. G., Shao, B., Liu, Z., & Li, H. (2026) · Scientific Data · doi:10.1038/s41597-026-07099-1 · Cited by 1

TopoToolbox 3, a laboratory for quantitative geomorphologyPreprint

Kearney, W. S., Arnau, G., Bringezu, T., Dietze, M. C., Gailleton, B., Lamprecht, A.-L., Lenz, K., Ott, R. F., Dirk Scherler, C., Steer, P., et al. (2026) · doi:10.5194/egusphere-2026-2478 · Cited by 1

Comment on essd-2021-222

(2021) · Earth system science data · doi:10.5194/essd-2021-222-rc1

労働と思想(18)エルネスト・ラクラウ : アーティキュレーション(節合)の政治理論

山本, 圭. (2013) · Posse : 新世代のための雇用問題総合誌

RFID adoption issues in the warehouse

Bahr, W., & Lim, M. K. (2009) · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)

Comment on essd-2021-222

Assmann, J. J. (2021) · Earth system science data · doi:10.5194/essd-2021-222-ac1

Comment on nhess-2021-330

(2022) · Natural hazards and earth system sciences · doi:10.5194/nhess-2021-330-rc1

Comment on nhess-2021-330

(2022) · Natural hazards and earth system sciences · doi:10.5194/nhess-2021-330-rc2

Reply on RC1

Jackisch, R. (2022) · Solid Earth · doi:10.5194/se-2021-133-ac1

A Platform for Large Scale Application of Remote Sensed Data to Wildland Fire Management

Bunt, F., Johnson, J. V., & Hogland, J. S. (2022) · Imprensa da Universidade de Coimbra eBooks · doi:10.14195/978-989-26-2298-9_5

Comment on bg-2022-205

Lehmann, N., Lantuit, H., Böttcher, M. E., et al. (2023) · Biogeosciences · doi:10.5194/bg-2022-205-rc2

Comment on essd-2023-77

(2023) · Earth system science data · doi:10.5194/essd-2023-77-rc1

A Python Tool for Predicting and Assessing Unconventional Rare-Earth and Critical Mineral Resources

Wingo, P. C., Justman, D., Creason, C. G., Mark‐Moser, M., Montross, S. N., & Rose, K. (2023) · The Journal of Open Source Software · doi:10.21105/joss.05500

Reply on CC1

Betlem, P. (2023) · Earth system science data · doi:10.5194/essd-2022-143-ac2

Natural ecosystems outperform agricultural lands in global soil nitrogen retentionPreprint

Gu, B., Yang, F., Li, Y., Wang, Y., Zhao, K., Song, X., Xu, J. M., & Ma, B. (2023) · Research Square · doi:10.21203/rs.3.rs-3497152/v1

Comment on essd-2023-508

Kovacek, D., & Weijs, S. V. (2024) · Earth system science data · doi:10.5194/essd-2023-508-rc1

Modèle de données urbain pour l'étude de la surchauffe des quartiers

Martinez, S., Bozonnet, E., Rendu, M., & Brangeon, B. (2024) · HAL

Feature extraction using VIPER: The geospatial vector, image, point cloud, elevation, and raster toolbox

Perry, J., Maze-England, D., & Magruder, L. A. (2024) · Laser radar technology and applications. Conference · doi:10.1117/12.3013903

The Methods for Estimating Lake Volume, Mean Depth, and Maximum Depth in European Standard EN 16039:2011 Are Flawed and Should Not Be Used

Seekell, D. A., & Gudasz, C. (2024) · Aquatic Conservation Marine and Freshwater Ecosystems · doi:10.1002/aqc.4260

Geostratigraphic Mapping of the Intrusive Valentine Domes on the Moon

Valencia, J. E. S., & Rossi, A. P. (2024) · Journal of Geophysical Research Planets · doi:10.1029/2024je008423

PCOT: An open‐source toolkit for multispectral image processing

Finnis, J. C., Miles, H. C., Ladegaard, A., & Gunn, M. D. (2024) · Geoscience Data Journal · doi:10.1002/gdj3.283

Predicción de zonas susceptible a los procesos de remoción masa aplicando el modelo matemático red neuronal artificial en la localidad de Guatapurí y Chemesquemena, Colombia

Estrada-Romero, J. J., Bolaño, F. E. C., Jaraba, D. C. M., & Cantillo, J. (2024) · Revista UIS Ingenierías · doi:10.18273/revuin.v23n4-2024006

Predicción de Zonas Susceptibles a Movimientos en Masa Aplicando Modelo Matemático Red Neuronal Artificial en la Cuenca Alta del Río Pamplonita

Sanguino, C. A. S., Estrada-Romero, J. J., & Romero, J. R. C. (2024) · REVISTA AMBIENTAL AGUA, AIRE Y SUELO · doi:10.24054/raaas.v15i2.3187

Segmentation of arbitrary features in very high resolution remote sensing imageryPreprint

Cording, H., Plancherel, Y., & Brito‐Parada, P. R. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2412.16046

Comment on egusphere-2024-3965

(2025) · doi:10.5194/egusphere-2024-3965-rc2

Comment on egusphere-2025-926

(2025) · doi:10.5194/egusphere-2025-926-rc1

How Informative is Your Annual CP Survey Potential Data? - A Statistical Analysis

Hayden, T., Krissa, L. J., Parker, K., & Osmond, C. (2024) · IEEE Lasers and Electro-Optics Society Annual Meeting (LEOS) · doi:10.5006/c2024-21219

An Open-Source Approach to High Voltage Induction Risk

Hayden, T., Akuchie, C., Krissa, L. J., & Mazzella, J. (2025) · IEEE Lasers and Electro-Optics Society Annual Meeting (LEOS) · doi:10.5006/c2025-00278

Implementación de una infraestructura de procesamiento satelital con software libre en el Laboratorio Nacional de Observación de la Tierra, México

Sierra, A. A., & Escudero, V. M. J. (2025) · Investigaciones Geográficas Boletín del Instituto de Geografía · doi:10.14350/rig.61007

Map simulator of tick abundance in heterogeneous agricultural landscapes

Vourc’h, G., Abrial, D., Agoulon, A., McCoy, K. D., Butet, A., Verheyden, H., Loche, R., Lebert, I., Perez, G., Quillery, E., et al. (2026) · Basic and Applied Ecology · doi:10.1016/j.baae.2026.06.004

Mapping of small scale surface water in Denmark – using deep learning, fusing high resolution geo data and Sentinel-1 SAR

Köhn, S. J., Fernandes, A. C. M., Fibæk, C. S., & Nielsen, K. (2025) · Advances in Space Research · doi:10.1016/j.asr.2025.07.007

On solving coordinate problems in climate model output and other geospatial datasets

Cherblanc, C., Petersen, J. P. G., Bunt, F., Torres‐Alavez, J. A., & Mottram, R. H. (2025) · Open Research Europe · doi:10.12688/openreseurope.20467.2

Mapping the burden of COVID-19 infections and estimating the contribution of socioeconomic factors: a cross-sectional study

Sacoto, K. M. F., Guernec, G., del Hierro, G. S., & Hernández, F. G. M.-P. (2025) · Archives of Public Health · doi:10.1186/s13690-025-01755-5

Poikilohydria, polyols, and homeoviscosity: lichen metabolomic remodeling across environmental gradients

Pérez-Rodrigo, M., Moya, P., Arenzana, C., Garrido‐Benavent, I., Barreno, E., Mark, K., Peksa, O., Westberg, M., Carrasco, P., & Marco, F. (2026) · Frontiers in Plant Science · doi:10.3389/fpls.2026.1792494

Reduction of Residence Time of Air in the Arctic Since the 1980s

Plach, A., Bakels, L., & Stohl, A. (2025) · Geophysical Research Letters · doi:10.1029/2025gl118228

Geospatial methods for distributed flood attenuation on riverine catchments

Antolini, F. (2022) · Iowa Research Online (The University of Iowa) · doi:10.25820/etd.006642

Analysis of Multi-Layer Spatial Data to Increase the Accuracy of Thematic Soil Maps for Agriculture

Karp, F. H. S. (2025) · eScholarship@McGill (McGill) · doi:10.82308/45499

Integration of solar thermal power plants in energy-intensive industries with a focus on cement production for the reduction of emitted pollutants

Κυνηγός, Α. Ε., & Κυνηγός, Α. Ε. (2025) · University of Thessaly Institutional Repository (University of Thessaly)

Where can the Vendace (Coregonus albula) live during the least favourable period of the summer stratification in Lake Mälaren?

Andersson, L. (2023) · KTH Publication Database DiVA (KTH Royal Institute of Technology)

Evaluación de modelos de elevación digital de acceso libre para estimar áreas de inundación por ascenso de nivel del mar en Cartagena de Indias

Niebles López, D. (2022) · DSpace Main Institutional Repository University of the North (Universidad del Norte)

Data Platform Using Open-Source Tools to Support Geospatial Research: case SAR Satellite Based Change Detection

Alatalo, J. (2023) · Theseus (Ammattikorkeakoulujen)

O sistema DETER para a Amazônia Brasileira é afetado pela cobertura de nuvens?

Maurano, L. E. P., Adami, M., & Arcanjo, J. D. S. (2025) · Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)

The Server-side of Tiled Raster Web Maps: benchmarking and evaluating static raster tile map generation tools for geospatial data processing and visualization

Nylund, A. (2023) · Theseus (Ammattikorkeakoulujen)

Serverless-funktioiden hyödyntäminen paikkatietodatan prosessointiin

Hyvönen, T. (2024) · Aaltodoc (Aalto University)

Comparación de visores de datos geográficos sobre plataformas comercial y open source

García Sanabria, Á. (2024) · UVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid)

Surface Water Storage - um plugin do QGIS para o estudo de reservatórios

Pimenta, J. V., & Azevedo, S. C. D. (2025) · Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)

Assessing Data Volume Redundancy in the Sentinel-2 Tiling Grid System

Falkner, K. (2025) · reposiTUm (TU Wien) · doi:10.34726/hss.2025.133022

Finding mountain summits in high-resolution LiDAR dataPreprint

Kirmse, A., & Kirk, J. (2025) · doi:10.22541/essoar.175516558.86152120/v1

Performing Object Detection on Drone Orthomosaics with Meta's Segment Anything Model (SAM)

McCarty, N. S. (2025) · Proceedings of the Python in Science Conferences · doi:10.25080/uhje9464

Análisis espaciotemporal de estimaciones de precipitación y temperaturas de Chirps y Worldclim en la cuenca del río Sonora, México

Narváez-Ortiz, I., Paz, R. A. O., & Hernández-Vásquez, C. C. (2025) · Revista de Investigación Agraria y Ambiental · doi:10.22490/21456453.8484

Identification and classification of disturbed lands based on geodata of satellite images using machine learning methods

Горбунов, А. В., & Gorbunov, A. V. (2025) · Electronic scientific archive of UrFU (Ural Federal University)

SII-NowNet: A Machine Learning Tool for Nowcasting Convection Initiation and Intensification in the Tropics

Smith, J., Birch, C. E., Marsham, J. H., & David, M. (2025) · Artificial Intelligence for the Earth Systems · doi:10.1175/aies-d-25-0043.1

Improving geolocation and footprint characterisation of microwave radiometer observations using coastal crossingsPreprint

Fell, F., Bennartz, R., & Picard, B. (2026) · doi:10.5194/egusphere-2026-994

Modeling the spatiotemporal climate vulnerability of Colombia’s potato production areas with homologous climate zones and ensemble future climate scenarios

León-Rueda, W. A., Valbuena-Gaona, L. A., Noreña, J. E. O., Almanza, E. D. D., & Ramírez‐Gil, J. G. (2025) · Agronomía Colombiana · doi:10.15446/agron.colomb.v43n3.121630

Raster Tools: An Open Source Toolbox for Raster Processing

Bunt, F., Johnson, J. V., & Hogland, J. S. (2026) · The Journal of Open Source Software · doi:10.21105/joss.08134

Implementació d'un Algoritme Genètic per millorar les simulacions d'incendis forestals

Guzmán, S. A. J., & d'Enginyeria, U. A. D. B. E. (2026) · Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)

Exploring the limits of Norway Spruce: Presence/absence data at the species' southernmost edge

Giannakoglou, K., Michailidis, G., Tsiridis, A., Aptoglou, I., Karatzoglou, M., Galanidis, A., Giannakopoulos, V., & Nanos, N. (2026) · Ecosistemas · doi:10.7818/ecos.3059

GIBS Geospatial Data Abstraction Library (GDAL)

(2015) · Cited by 5

The Geospatial Data Abstraction Library

Warmerdam, F. (2008) · Advances in geographic information science · doi:10.1007/978-3-540-74831-1_5 · Cited by 318

Gdal python tutorial pdf

pennwgyuv (2024) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.12399393

GDAL: Konzept und Werkzeuge

Metz, M. (2024) · KartDok - Cartography Repository · doi:10.48711/20240627-001

vapour: Access to the 'Geospatial Data Abstraction Library' ('GDAL')

Sumner, M. (2018) · doi:10.32614/cran.package.vapour