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Is deeper always better? Evaluating deep learning models for yield forecasting with small data.
- Published in:
- Environmental Monitoring & Assessment, 2023, v. 195, n. 10, p. 1, doi. 10.1007/s10661-023-11609-8
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- Article
Reputational Risk Associated with Big Data Research and Development: An Interdisciplinary Perspective.
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- Sustainability (2071-1050), 2021, v. 13, n. 16, p. 9280, doi. 10.3390/su13169280
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- Article
Sentinel-2's Potential for Sub-Pixel Landscape Feature Detection.
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- Remote Sensing, 2016, v. 8, n. 6, p. 488, doi. 10.3390/rs8060488
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- Article
Cropland Mapping over Sahelian and Sudanian Agrosystems: A Knowledge-Based Approach Using PROBA-V Time Series at 100-m.
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- Remote Sensing, 2016, v. 8, n. 3, p. 232, doi. 10.3390/rs8030232
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- Article
Maize Leaf Area Index Retrieval from Synthetic Quad Pol SAR Time Series Using the Water Cloud Model.
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- Remote Sensing, 2015, v. 7, n. 12, p. 16204, doi. 10.3390/rs71215818
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- Publication type:
- Article
An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series.
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- Remote Sensing, 2015, v. 7, n. 10, p. 13208, doi. 10.3390/rs71013208
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- Publication type:
- Article
Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series.
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- Remote Sensing, 2015, v. 7, n. 8, p. 10400, doi. 10.3390/rs70810400
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- Article
Mapping Priorities to Focus Cropland Mapping Activities: Fitness Assessment of Existing Global, Regional and National Cropland Maps.
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- Remote Sensing, 2015, v. 7, n. 6, p. 7959, doi. 10.3390/rs70607959
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- Article
A Dynamic Vegetation Senescence Indicator for Near-Real-Time Desert Locust Habitat Monitoring with MODIS.
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- Remote Sensing, 2015, v. 7, n. 6, p. 7545, doi. 10.3390/rs70607545
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- Article
AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography.
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- Earth System Science Data, 2023, v. 15, n. 1, p. 317, doi. 10.5194/essd-15-317-2023
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- Article
Modelling seasonal pasture growth and botanical composition at the paddock scale with satellite imagery.
- Published in:
- In Silico Plants, 2021, v. 3, n. 1, p. 1, doi. 10.1093/insilicoplants/diaa013
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- Article
High temporal resolution of leaf area data improves empirical estimation of grain yield.
- Published in:
- Scientific Reports, 2019, v. 9, n. 1, p. N.PAG, doi. 10.1038/s41598-019-51715-7
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- Article
Operational Monitoring of the Desert Locust Habitat with Earth Observation: An Assessment.
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- ISPRS International Journal of Geo-Information, 2015, v. 4, n. 4, p. 2379, doi. 10.3390/ijgi4042379
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- Publication type:
- Article
National-scale cropland mapping based on spectral-temporal features and outdated land cover information.
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- PLoS ONE, 2017, v. 12, n. 8, p. 1, doi. 10.1371/journal.pone.0181911
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- Publication type:
- Article
An information-based criterion to measure pixel-level thematic uncertainty in land cover classifications.
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- Stochastic Environmental Research & Risk Assessment, 2017, v. 31, n. 9, p. 2297, doi. 10.1007/s00477-016-1310-y
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- Publication type:
- Article
Unlocking Large-Scale Crop Field Delineation in Smallholder Farming Systems with Transfer Learning and Weak Supervision.
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- Remote Sensing, 2022, v. 14, n. 22, p. 5738, doi. 10.3390/rs14225738
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- Article
Looking for Change? Roll the Dice and Demand Attention.
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- Remote Sensing, 2021, v. 13, n. 18, p. 3707, doi. 10.3390/rs13183707
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- Article
Detect, Consolidate, Delineate: Scalable Mapping of Field Boundaries Using Satellite Images.
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- Remote Sensing, 2021, v. 13, n. 11, p. 2197, doi. 10.3390/rs13112197
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- Article
Potential of Hybrid CNN-RF Model for Early Crop Mapping with Limited Input Data.
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- Remote Sensing, 2021, v. 13, n. 9, p. 1629, doi. 10.3390/rs13091629
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- Publication type:
- Article
A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China.
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- Remote Sensing, 2021, v. 13, n. 6, p. 1221, doi. 10.3390/rs13061221
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- Article
High-Resolution Rice Mapping Based on SNIC Segmentation and Multi-Source Remote Sensing Images.
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- Remote Sensing, 2021, v. 13, n. 6, p. 1148, doi. 10.3390/rs13061148
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- Publication type:
- Article
The T Index: Measuring the Reliability of Accuracy Estimates Obtained from Non-Probability Samples.
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- 2020
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- Publication type:
- Letter
To Blend or Not to Blend? A Framework for Nationwide Landsat–MODIS Data Selection for Crop Yield Prediction.
- Published in:
- Remote Sensing, 2020, v. 12, n. 10, p. 1653, doi. 10.3390/rs12101653
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- Publication type:
- Article
Combining Fractional Cover Images with One-Class Classifiers Enables Near Real-Time Monitoring of Fallows in the Northern Grains Region of Australia.
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- Remote Sensing, 2020, v. 12, n. 8, p. 1337, doi. 10.3390/rs12081337
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- Article
How Response Designs and Class Proportions Affect the Accuracy of Validation Data.
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- Remote Sensing, 2020, v. 12, n. 2, p. 257, doi. 10.3390/rs12020257
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- Article
Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series.
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- Remote Sensing, 2018, v. 10, n. 2, p. 159, doi. 10.3390/rs10020159
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- Publication type:
- Article
AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography.
- Published in:
- Earth System Science Data Discussions, 2022, p. 1, doi. 10.5194/essd-2022-298
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- Publication type:
- Article