A novel alpine land cover classification strategy based on a deep convolutional neural network and multi-source remote sensing data in Google Earth Engine by Yang Qichi, Wang Lihui, Huang Jinliang, Liu Linzhi, Li Xiaodong, Xiao Fei, Du Yun, Yan Xue, Ling Feng

“…Although several global land cover products and thematic maps are already available, their mapping accuracy of alpine and montane regions remains unsatisfactory due to the data acquisition, methodology, and workflow design constraints. …”
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HULU SUNGAI PERAK BED SEDIMENT MAPPING USING UNDERWATER ACOUSTIC SONAR by N. Arriafdi, O. Zainon, U. Din, A. W. Rasid, Z. Mat Amin, R. Othman, A. S. Mardi, R. Mahmud, N. Sulaiman

“…It is now cost effective to image large areas of the riverbed using these techniques and the backscatter image created from surveys provides base line data from which thematic maps of the riverbed environment including maps of morphological geology, can be derived when interpreted in conjunction with in situ sampling data. …”
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URBAN HEAT ISLAND MICRO-MAPPING VIA 3D CITY MODEL by U. Ujang, S. Azri, M. Zahir, A. Abdul Rahman, T. L. Choon

“…Common visualisation of UHI by using digital thematic maps shows that it is hard to perceive its impacts especially in a sophisticated micro-area such as in urbanized cities. …”
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Estimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS) by Lysien I. Zambrano, Manuel Sierra, Bredy Lara, Iván Rodríguez-Núñez, Marco T. Medina, Carlos O. Lozada-Riascos, Alfonso J. Rodríguez-Morales

“…The GIS software used was Kosmo Desktop 3.0RC1®. Four thematic maps were developed according departments, municipalities, diseases incidence rates. …”
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Unsupervised Feature Learning to Improve Transferability of Landslide Susceptibility Representations by Qing Zhu, Li Chen, Han Hu, Saeid Pirasteh, Haifeng Li, Xiao Xie

“…Specifically, we first stack restricted Boltzmann machines and denoising autoencoder to unsupervised discover the underlying representations embedded in the thematic maps. Then, we applied the transferring strategy in an adversarial manner to generalize the learned representations to the sample-scarce area. …”
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Earth Observation and Geospatial techniques for Soil Salinity and Land Capability Assessment over Sundarban Bay of Bengal Coast, India by Das Sumanta, Choudhury Malini Roy, Das Subhasish, Nagarajan M.

“…Soil physical properties such as texture, structure, depth and drainage condition is stored as attributes in a geographical soil database and linked with the soil map units. The thematic maps are integrated with climatic and terrain conditions of the area to produce land capability maps for paddy. …”
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Groundwater Recharge Potentiality Mapping in Wadi Qena, Eastern Desert Basins of Egypt for Sustainable Agriculture Base Using Geomatics Approaches by Hanaa A. Megahed, Abd El-Hay A. Farrag, Amira A. Mohamed, Paola D’Antonio, Antonio Scopa, Mohamed A. E. AbdelRahman

“…After allocating weight factors to identify features in each case based on infiltration, land use/land cover, slope, geology, topology, soil, drainage density, lineament density, rainfall, flow accumulation, and flow direction, these thematic maps were combined. The results of the GIS modeling led to the division of the area’s groundwater recharge potential into five groups, ranging from very high (in the western part) to very low (in the eastern part of the basin). …”
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SPECIAL SOFTWARE FOR PLANETARY IMAGE PROCESSING AND RESEARCH by A. E. Zubarev, I. E. Nadezhdina, N. A. Kozlova, E. S. Brusnikin, I. P. Karachevtseva

“…The obtained data – new three-dimensional control point networks, elevation models, orthomosaics – provided accurate maps production: a new Phobos atlas (Karachevtseva et al., 2015) and various thematic maps that derived from studies of planetary surface (Karachevtseva et al., 2016a).…”
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Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India by Ashwani Kumar Tiwari, Muriel Lavy, Gianpiero Amanzio, Marina De Maio, Prasoon Kumar Singh, Mukesh Kumar Mahato

“…For this purpose, seven important hydrogeological factors (water depth, slope, drainage, soil, infiltration, lithology, and landuse) have been considered to define the most suitable locations for artificial groundwater recharging in the mining area. Different thematic maps were prepared from existing maps and data sets, remote-sensing images, and field investigations for identification of the most suitable locations for artificial recharge. …”
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Effect of Training Class Label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series by Charlotte Pelletier, Silvia Valero, Jordi Inglada, Nicolas Champion, Claire Marais Sicre, Gérard Dedieu

“…These reference data come generally from different sources such as field measurements, thematic maps, or aerial photographs. Due to misregistration, update delay, or land cover complexity, they may contain class label noise, i.e., a wrong label assignment. …”
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Challenges and Limitations of Karst Aquifer Vulnerability Mapping Based on the PaPRIKa Method—Application to a Large European Karst Aquifer (Fontaine de Vaucluse, France) by Chloé Ollivier, Konstantinos Chalikakis, Naomi Mazzilli, Nerantzis Kazakis, Yoann Lecomte, Charles Danquigny, Christophe Emblanch

“…The Fontaine de Vaucluse karst aquifer is the largest European karst hydrosystem with a catchment area that measures approximately 1162 km<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mn>2</mn> </msup> </semantics> </math> </inline-formula>. Four thematic maps were produced according to the criteria of protection, rock type, infiltration, and karst development. …”
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Software AgDataBox-Map to precision agriculture management by Gabriela Karoline Michelon, Claudio Leones Bazzi, Shrinivasa Upadhyaya, Eduardo Godoy de Souza, Paulo Sérgio Graziano Magalhães, Ligia Francielle Borges, Kelyn Schenatto, Ricardo Sobjak, Alan Gavioli, Nelson Miguel Betzek

“…As result of this work, a web tool was developed and enable the generation and visualization of thematic maps by the inverse of the distance to a power, moving average and ordinary kriging interpolators. …”
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National level assessment of soil salinization and structural degradation risks under irrigation by Zsófia Bakacsi, Tibor Tóth, András Makó, Gyöngyi Barna, Annamária Laborczi, József Szabó, Gábor Szatmári, László Pásztor

“…This paper focuses on threats, the spatial identification of potentially affected areas. The thematic maps spatially model the irrigability and vulnerability of soils. …”
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Assessment of Groundwater Contamination Risk in Oilfield Drilling Sites Based on Groundwater Vulnerability, Pollution Source Hazard, and Groundwater Value Function in Yitong County by Zhang Fang, Zhiguo Liu, Siyuan Zhao, Yanlin Ma, Xia Li, Han Gao

“…Consider the oilfield drilling area in Yitong County of Jilin Province, China, as an example. Thematic maps of the three aspects (groundwater vulnerability, pollution source hazard, and groundwater value function) were generated in ArcGIS environment to assess the contamination risk of groundwater in quaternary pore unconfined aquifer. …”
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Spatial distribution of vaccine-preventable diseases in central Iran in 2015–2018: A GIS-based study by Abolfazl Mohammadbeigi, Abedin Saghafipour, Nahid Jesri, Fatemeh Zahra Tarkhan, Moharram Karami Jooshin

“…In addition, all pertussis cases were reported from Qom city. According to thematic maps of GIS, the annual incidence rate of VPDs in Qom Province was lower than the mean rate in Iran. …”
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Preservation of Villages in Central Italy: Geomatic Techniques’ Integration and GIS Strategies for the Post-Earthquake Assessment by Fabio Piccinini, Alban Gorreja, Francesco Di Stefano, Roberto Pierdicca, Luis Javier Sanchez Aparicio, Eva Savina Malinverni

“…Furthermore, the integration with non-metric data ensures a more complete description of the post-seismic risk thematic mapping. In this paper, a high-performance information system for small urban realities, such as historical villages, is described, starting from the 3D survey obtained through the integrated management of recent innovative geomatic sensors, such as Unmanned Aerial Vehicles (UAVs), Terrestrial Laser Scanners (TLSs), and 360º images. …”
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EVALUATION OF LAND COVER, LAND USE AND WATER QUALITY IN THE REGIONS WITH VARIOUS ANTHROPOGENIC ACTIVITY – A CASY STUDY OF OSAM RIVER BASIN, BULGARIA by Kristina GARTSIYANOVA, Stefan GENCHEV, Atanas KITEV

“…To identify the land use/cover in the region was based on GIS, digital topographic and thematic maps, Corine Land Cover data, high-resolution satellite imagery (Google Earth), digital elevation model, statistics and field studies. …”
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Performance Evaluation of Oral Health Teams in Brazil: An Item Response Theory Approach by Maria Tereza A. Scalzo, Mauro Henrique N. G. Abreu, Juliana V. M. Mambrini, Letícia C. Pinheiro, Antônio Thomaz G. Matta-Machado, Renata C. Martins

“…The relationship between performance scores and contextual variables in Brazilian regions was analyzed by thematic maps and Spearman correlation (<i>p</i> < 0.05). …”
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From Space to Field: Combining Satellite, UAV and Agronomic Data in an Open-Source Methodology for the Validation of NDVI Maps in Precision Viticulture by David Govi, Salvatore Eugenio Pappalardo, Massimo De Marchi, Franco Meggio

“…Comparative analyses were performed by using both classical (Ordinary Least Squares regression and Pearson Correlation) and spatial (Moran’s Index) statistical approaches: here, 90% of cases show <i>r</i> and MI scores above 0.6 for plain images, with these scores expectedly lowering to 72% and 52% when considering segmented images. Moreover, NDVI thematic maps were classified into clusters and validated by the Chi-squared test. …”
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Automatic System for Crop Pest and Disease Dynamic Monitoring and Early Forecasting by Yingying Dong, Fang Xu, Linyi Liu, Xiaoping Du, Binyuan Ren, Anting Guo, Yun Geng, Chao Ruan, Huichun Ye, Wenjing Huang, Yining Zhu

“…Finally, we released the pest and disease forecasting thematic maps. China&#x0027;s national disease wheat yellow rust (<italic>Puccinia striiformis</italic>) and national pest oriental migratory locust (<italic>Locusta migratoria manilensis (Meyen)</italic>) are taking as the experimental objects. …”
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