4.5 Editorial Material

Perspectives on Earth Observation and GIScience for Agricultural Applications

Related references

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Article Computer Science, Information Systems

Risk Assessment of Different Maize (Zea mays L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model

Xuli Zan et al.

Summary: Based on the mechanism of different lodging types, the study used the Archimedean copula function to describe the joint probability distribution of wind speed and precipitation, establishing a lodging risk assessment model for maize. The optimal joint probability distribution functions were determined by comparing the goodness of fit, with certain regions showing higher lodging frequency and a higher probability of stalk lodging compared to root lodging. The proposed method considers the synergistic effect of multiple factors and can provide technical support for other risk assessments.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

Article Computer Science, Information Systems

Prediction of Groundwater Level Variations in a Changing Climate: A Danish Case Study

Rebeca Quintero Gonzalez et al.

Summary: This study used three machine learning algorithms to predict future changes in groundwater levels in Denmark based on climate change scenarios. The random forest (RF) model outperformed the other two models, showing a slight increase in water table levels in the future, especially during winter. The developed approach and models can be applied to other areas to improve prevention and adaptation plans for future climate change scenarios.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

Article Computer Science, Information Systems

Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia

Svetlana Mukharamova et al.

Summary: The study utilizes MODIS satellite imaging data and LSTM machine-learning method to evaluate the C-factor in different regions of EPR from 2014 to 2019, providing up-to-date estimates with high spatial detail. The average C-factor values for EPR, forest landscape zone, forest-steppe zone, and steppe zone were calculated and compared with previous field studies to show good correlation.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

Article Computer Science, Information Systems

Improving Strawberry Yield Prediction by Integrating Ground-Based Canopy Images in Modeling Approaches

Amr Abd-Elrahman et al.

Summary: This study demonstrated the successful prediction of strawberry yield using high-resolution ground-based imagery and crop information, improving the accuracy of yield prediction. The results showed that adding image-derived variables significantly increased the accuracy of the models, providing assistance for decision-making in the industry.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

Article Computer Science, Information Systems

Development of a New Phenology Algorithm for Fine Mapping of Cropping Intensity in Complex Planting Areas Using Sentinel-2 and Google Earth Engine

Yan Guo et al.

Summary: This study used Sentinel-2 images and an improved peak point detection method to extract cropping intensity, showing that in Henan Province, the areas for single cropping, double cropping, and triple cropping are 52,236.9 km(2), 74,334.1 km(2), and 1927.1 km(2) respectively. The study demonstrates that using Sentinel-2 data and phenology algorithm has great potential in producing high spatio-temporal resolution dataset for crop remote sensing monitoring in complex planting areas.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

Article Computer Science, Information Systems

Usage of Airborne Hyperspectral Imaging Data for Identifying Spatial Variability of Soil Nitrogen Content

Vilem Pechanec et al.

Summary: Soil is a significant natural resource composed of organic and inorganic material, with nitrogen being an essential element traditionally measured using laboratory methods. The development of hyperspectral imaging allows for cost-effective acquisition of both spectral and spatial information for detecting soil attributes. This study evaluates the suitability of airborne hyperspectral imaging for determining soil nitrogen content and producing a soil nitrogen map on a pixel-wise basis.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

Article Computer Science, Information Systems

Combination of Landsat 8 OLI and Sentinel-1 SAR Time-Series Data for Mapping Paddy Fields in Parts of West and Central Java Provinces, Indonesia

Sanjiwana Arjasakusuma et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)