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Data · dataset · 2024

CROP GROWTH AND YIELD MONITORING IN SMALLHOLDER AGRICULTURAL SYSTEMS: A MULTI-SENSOR DATA FUSION APPROACH

Listed in DANS Data Station Physical and Technical Sciences

LAI, yield and crop calendar information was collected from rice and maize sample fields.

Description

This dataset contains the measurements at locations within the fields and the averages per study field. The ground data was used for calibration and validation of phenology, detection, LAI, and yield estimation from the EO data.

In addition to the ground datasets, LAI, crop phenometrics and yield were derived from the Landsat-MODIS data fusion and MODIS datasets. The processing procedure to derive these outputs are outlined in the four manuscripts published in this PhD thesis and a brief description is included in the readme. The project includes four research chapters published in ISI journals 1.

Read the rest (3 more)

Sisheber, B., M. Marshall, D. Ayalew & A. Nelson (2022) Tracking crop phenology in a highly dynamic landscape with knowledge-based Landsat–MODIS data fusion. International Journal of Applied Earth Observation and Geoinformation, 106, 102670. 2. Sisheber, B., M. Marshall, D. Mengistu & A. Nelson (2023) Detecting the long-term spatiotemporal crop phenology changes in a highly fragmented agricultural landscape.

Agricultural and Forest Meteorology, 340, 109601. 3. Sisheber, B., Marshall, M., Mengistu, D., and Nelson, A. (2023). Assimilation of Earth Observation data for crop yield estimation in smallholder agricultural systems.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-17, 10.1109/jstars.2023.3329237 4. Sisheber, B., M. Marshall, D. Mengistu & A. Nelson. The influence of temporal resolution on crop yield estimation with Earth Observation data assimilation (under review).

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/PT/PVCRIL10 d agoJSON v1
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