Web applications for spatial analyses and thematic map generation

Dall'Agnol, Rodrigo Werner; Michelon, Gabriela Karoline; Bazzi, Claudio; Magalhães, Paulo Sérgio Graziano; Souza, Eduardo Godoy de; Betzek, Nelson Miguel; Sobjak, Ricardo

doi:10.1016/j.compag.2020.105374

Cited by 14 publications

(3 citation statements)

References 19 publications

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“…The research by Werner et al ( 2020 ) developed a web-based spatial analysis application integrated with R language for the statistical and geostatistical analysis and creation of thematic maps. It offers generating the maps using both inverse distance weighting and kriging methods.…”

Section: Discussionmentioning

confidence: 99%

Designing and modeling an IoT-based software system for land suitability assessment use case

Mohammad El-Basioni,

Abd El-Kader

2024

Environ Monit Assess

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Assessing the quality of land is a very important step that precedes the planning of land use and taking management decisions; for example, in the agricultural field, it can be used to evaluate the suitability of the land for planting crops, determine the suitable irrigation system type, or adjust the agricultural inputs such as fertilizers and pesticides according to the requirements of each zone in the land. The spatial–temporal dynamic nature of land characteristics entails also updated evaluation process and updated management plan. The present paper tries to exploit the advances in information and communication technologies to develop a conceptual design of a dynamic system that accommodates the spatial–temporal dynamics of the agricultural soil characteristics to realize a land suitability assessment (LSA) based on a factor analysis method. The proposed design combines IoT technologies, web development, database, and digital mapping and tries to consolidate the system with other functionalities useful for decision support and suitable for different cases. The paper conducted a survey and made comparisons to select the best technologies that fit the current use case implementation and presents its reproducible conceptual modeling by developing the static and dynamic views through schemas, diagrams, message sequence charts, IoT messaging topic tree, pseudocode, etc. The functionality of the design was validated with a simple implementation of the system model. To our knowledge, there is no previous significant contribution that has addressed a LSA IoT use case. The proposed design automates the LSA process for more accurate decision-making, saving cost, time, and effort consumed in repeated field trips. It is characterized by flexibility and centralization in its offered services of spatial analysis, detection, visualizations, and status monitoring. The design also allows for remote control of field machinery.

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Section: Discussionmentioning

confidence: 99%

Designing and modeling an IoT-based software system for land suitability assessment use case

Mohammad El-Basioni,

Abd El-Kader

2024

Environ Monit Assess

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“…The Gaussian model was selected to model the spatial variability of soil moisture in both datasets. Depending on the criteria suggested by Cambardella et al (1994), the spatial autocorrelation is considered as high if the nugget to sill ratio is less than 0.25, to be moderate if between 0.25 and 0.75, and to be low if higher than 0.75 (Dall'Agnol et al 2020). In this study, the fitted semivariograms have a nugget to sill ratios of 0.32 and 0.44 for gravimetric and quantified soil moisture data, respectively, demonstrating a moderate (close to high) spatial dependence in both cases.…”

Section: Regionalizing Soil Moisturementioning

confidence: 99%

Soil moisture data using citizen science technology cross-validated by satellite data

Karamouz

Ebrahimi

Ghomlaghi

2021

Journal of Hydroinformatics

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Soil moisture represents many attributes of the geo-hydrological cycle and the climate system. Citizen science through social media as an emerging tool could be utilized to collect soil moisture data. A pilot study area was selected in Shahriar, Iran. A user interface and a sampling process (use of citizen science by subscribers) were designed to analyze the subjective and gravimetric soil moisture data. Furthermore, explanatory moisture condition (EMC), a new initiative to consider land use in soil moisture information from vegetation cover, was evaluated. A statistical artificial neural network was used for quantifying subjective data, and soil moisture layouts were produced by utilizing the ordinary kriging (OK) method. For cross-validating, the land surface temperature data from the MODIS satellite were retrieved. A platform for the region with 200 m grids resolution to collect daily soil moisture at eight ungauged stations is proposed to utilize subjective data from the subscribers and cross-validated with satellite data. A virtual station at the centroid of the pervious part of the study area was selected as a reference station for data collection daily or weekly to generate soil moisture time series. The results showed a high potential of utilizing satellite and citizen science data for real-time estimation of scarce soil moisture data in developing regions.

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“…Therefore, Brazil needs to be aware of this technological evolution and make available free web platforms for integrating data, software, procedures, and methodologies for PA. The AgDataBox web platform (ADB) [18] is one of these technologies focused on DA. It is a platform that provides free computational tools for farmers, researchers, and service providers, mainly addressing PA practices.…”

Section: Introductionmentioning

confidence: 99%

AgDataBox-IoT - application development for agrometeorological stations in smart

Hachisuca,

de Souza,

Oliveira

et al. 2023

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Web applications for spatial analyses and thematic map generation

Cited by 14 publications

References 19 publications

Designing and modeling an IoT-based software system for land suitability assessment use case

Designing and modeling an IoT-based software system for land suitability assessment use case

Soil moisture data using citizen science technology cross-validated by satellite data

AgDataBox-IoT - application development for agrometeorological stations in smart

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