Cargando…

Mixed-Species Cover Crop Biomass Estimation Using Planet Imagery

Cover crop biomass is helpful for weed and pest control, soil erosion control, nutrient recycling, and overall soil health and crop productivity improvement. These benefits may vary based on cover crop species and their biomass. There is growing interest in the agricultural sector of using remotely...

Descripción completa

Detalles Bibliográficos
Autores principales: Kharel, Tulsi P., Bhandari, Ammar B., Mubvumba, Partson, Tyler, Heather L., Fletcher, Reginald S., Reddy, Krishna N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919649/
https://www.ncbi.nlm.nih.gov/pubmed/36772581
http://dx.doi.org/10.3390/s23031541
_version_ 1784886875378417664
author Kharel, Tulsi P.
Bhandari, Ammar B.
Mubvumba, Partson
Tyler, Heather L.
Fletcher, Reginald S.
Reddy, Krishna N.
author_facet Kharel, Tulsi P.
Bhandari, Ammar B.
Mubvumba, Partson
Tyler, Heather L.
Fletcher, Reginald S.
Reddy, Krishna N.
author_sort Kharel, Tulsi P.
collection PubMed
description Cover crop biomass is helpful for weed and pest control, soil erosion control, nutrient recycling, and overall soil health and crop productivity improvement. These benefits may vary based on cover crop species and their biomass. There is growing interest in the agricultural sector of using remotely sensed imagery to estimate cover crop biomass. Four small plot study sites located at the United States Department of Agriculture Agricultural Research Service, Crop Production Systems Research Unit farm, Stoneville, MS with different cereals, legumes, and their mixture as fall-seeded cover crops were selected for this analysis. A randomized complete block design with four replications was used at all four study sites. Cover crop biomass and canopy-level hyperspectral data were collected at the end of April, just before cover crop termination. High-resolution (3 m) PlanetScope imagery (Dove satellite constellation with PS2.SD and PSB.SD sensors) was collected throughout the cover crop season from November to April in the 2021 and 2022 study cycles. Results showed that mixed cover crop increased biomass production up to 24% higher compared to single species rye. Reflectance bands (blue, green, red and near infrared) and vegetation indices derived from imagery collected during March were more strongly correlated with biomass (r = 0–0.74) compared to imagery from November (r = 0.01–0.41) and April (r = 0.03–0.57), suggesting that the timing of imagery acquisition is important for biomass estimation. The highest correlation was observed with the near-infrared band (r = 0.74) during March. The R(2) for biomass prediction with the random forest model improved from 0.25 to 0.61 when cover crop species/mix information was added along with Planet imagery bands and vegetation indices as biomass predictors. More study with multiple timepoint biomass, hyperspectral, and imagery collection is needed to choose appropriate bands and estimate the biomass of mix cover crop species.
format Online
Article
Text
id pubmed-9919649
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99196492023-02-12 Mixed-Species Cover Crop Biomass Estimation Using Planet Imagery Kharel, Tulsi P. Bhandari, Ammar B. Mubvumba, Partson Tyler, Heather L. Fletcher, Reginald S. Reddy, Krishna N. Sensors (Basel) Article Cover crop biomass is helpful for weed and pest control, soil erosion control, nutrient recycling, and overall soil health and crop productivity improvement. These benefits may vary based on cover crop species and their biomass. There is growing interest in the agricultural sector of using remotely sensed imagery to estimate cover crop biomass. Four small plot study sites located at the United States Department of Agriculture Agricultural Research Service, Crop Production Systems Research Unit farm, Stoneville, MS with different cereals, legumes, and their mixture as fall-seeded cover crops were selected for this analysis. A randomized complete block design with four replications was used at all four study sites. Cover crop biomass and canopy-level hyperspectral data were collected at the end of April, just before cover crop termination. High-resolution (3 m) PlanetScope imagery (Dove satellite constellation with PS2.SD and PSB.SD sensors) was collected throughout the cover crop season from November to April in the 2021 and 2022 study cycles. Results showed that mixed cover crop increased biomass production up to 24% higher compared to single species rye. Reflectance bands (blue, green, red and near infrared) and vegetation indices derived from imagery collected during March were more strongly correlated with biomass (r = 0–0.74) compared to imagery from November (r = 0.01–0.41) and April (r = 0.03–0.57), suggesting that the timing of imagery acquisition is important for biomass estimation. The highest correlation was observed with the near-infrared band (r = 0.74) during March. The R(2) for biomass prediction with the random forest model improved from 0.25 to 0.61 when cover crop species/mix information was added along with Planet imagery bands and vegetation indices as biomass predictors. More study with multiple timepoint biomass, hyperspectral, and imagery collection is needed to choose appropriate bands and estimate the biomass of mix cover crop species. MDPI 2023-01-31 /pmc/articles/PMC9919649/ /pubmed/36772581 http://dx.doi.org/10.3390/s23031541 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kharel, Tulsi P.
Bhandari, Ammar B.
Mubvumba, Partson
Tyler, Heather L.
Fletcher, Reginald S.
Reddy, Krishna N.
Mixed-Species Cover Crop Biomass Estimation Using Planet Imagery
title Mixed-Species Cover Crop Biomass Estimation Using Planet Imagery
title_full Mixed-Species Cover Crop Biomass Estimation Using Planet Imagery
title_fullStr Mixed-Species Cover Crop Biomass Estimation Using Planet Imagery
title_full_unstemmed Mixed-Species Cover Crop Biomass Estimation Using Planet Imagery
title_short Mixed-Species Cover Crop Biomass Estimation Using Planet Imagery
title_sort mixed-species cover crop biomass estimation using planet imagery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919649/
https://www.ncbi.nlm.nih.gov/pubmed/36772581
http://dx.doi.org/10.3390/s23031541
work_keys_str_mv AT khareltulsip mixedspeciescovercropbiomassestimationusingplanetimagery
AT bhandariammarb mixedspeciescovercropbiomassestimationusingplanetimagery
AT mubvumbapartson mixedspeciescovercropbiomassestimationusingplanetimagery
AT tylerheatherl mixedspeciescovercropbiomassestimationusingplanetimagery
AT fletcherreginalds mixedspeciescovercropbiomassestimationusingplanetimagery
AT reddykrishnan mixedspeciescovercropbiomassestimationusingplanetimagery