TY - GEN
T1 - Can We Use the Relationship Between Within-Field Elevation and NDVI as an Indicator of Drought-Stress?
AU - Maestrini, Bernardo
AU - Brouwer, Matthijs
AU - Been, Thomas
AU - Lotz, Lambertus A.P.
PY - 2020/1/29
Y1 - 2020/1/29
N2 - Large farmers’ datasets can help shed light on agroecological processes if used in the context of hypothesis testing. Here we used an anonymized set of data from the geoplatform Akkerweb to better understand the correlation between within-field elevation and normalized differential vegetation index (NDVI, a proxy for biomass). The dataset included 3249 Dutch potato fields, for each of which the cultivar, the field polygon, the year of cultivation and the soil type (clay or sandy) was known. We hypothesize that under dry conditions such correlation is negative, meaning that the lowest portions of the field have more biomass because of water redistribution. From the data, we observed that in dry periods, such as the summer of 2018, the correlation was negative in sandy soils. Furthermore, we observed that early cultivars show a weaker correlation between NDVI and elevation than late cultivars, possibly because early cultivar escape part of the long dry summer spells. We conclude that the correlation between NDVI and elevation may be a useful indicator of drought stress, and deviations from the norm may be useful to evaluate the resistance to drought of individual cultivars.
AB - Large farmers’ datasets can help shed light on agroecological processes if used in the context of hypothesis testing. Here we used an anonymized set of data from the geoplatform Akkerweb to better understand the correlation between within-field elevation and normalized differential vegetation index (NDVI, a proxy for biomass). The dataset included 3249 Dutch potato fields, for each of which the cultivar, the field polygon, the year of cultivation and the soil type (clay or sandy) was known. We hypothesize that under dry conditions such correlation is negative, meaning that the lowest portions of the field have more biomass because of water redistribution. From the data, we observed that in dry periods, such as the summer of 2018, the correlation was negative in sandy soils. Furthermore, we observed that early cultivars show a weaker correlation between NDVI and elevation than late cultivars, possibly because early cultivar escape part of the long dry summer spells. We conclude that the correlation between NDVI and elevation may be a useful indicator of drought stress, and deviations from the norm may be useful to evaluate the resistance to drought of individual cultivars.
KW - Actueel hoogtebestand nederland
KW - AHN2
KW - DEM
KW - Drought
KW - Elevation
KW - NDVI
KW - Netherlands
KW - Potato
KW - Precision agriculture
KW - Within-field variability
U2 - 10.1007/978-3-030-39815-6_12
DO - 10.1007/978-3-030-39815-6_12
M3 - Conference paper
SN - 9783030398149
T3 - IFIP Advances in Information and Communication Technology
SP - 122
EP - 131
BT - International Symposium on Environmental Software Systems (ISESS 2020)
PB - Springer
CY - Wageningen
ER -