Field-scale estimation of sugarcane leaf nitrogen content using vegetation indices and spectral bands of Sentinel-2: Application of random forest and support vector …

M Soltanikazemi, S Minaei… - … and Electronics in …, 2022 - Elsevier
Nitrogen is an essential factor for assessing the quality of sugarcane during the growing
season, as deficiency of this component significantly reduces crop yield. The Kjeldahl …

Incorporation of Fused Remote Sensing Imagery to Enhance Soil Organic Carbon Spatial Prediction in an Agricultural Area in Yellow River Basin, China

Y Xu, Y Tan, A Abd-Elrahman, T Fan, Q Wang - Remote Sensing, 2023 - mdpi.com
To overcome spatial, spectral and temporal constraints of different remote sensing products,
data fusion is a good technique to improve the prediction capability of soil prediction models …

Regional soil organic matter mapping models based on the optimal time window, feature selection algorithm and Google Earth Engine

C Luo, X Zhang, Y Wang, Z Men, H Liu - Soil and Tillage Research, 2022 - Elsevier
The spatial distribution of soil organic matter (SOM) is highly significant to the assessment of
the regional carbon balance, food security and cultivated land quality. Due to climate …

[HTML][HTML] Simplifying residual nitrogen (Nmin) sampling strategies and crop response

P Heinemann, U Schmidhalter - European Journal of Agronomy, 2021 - Elsevier
Globally, important nitrogen fertilizer decisions are often made at the early stages of plant
development, when plants are not yet sufficiently indicative of their needs. Optimizing …

Estimating carbon, nitrogen, and phosphorus contents of west–east grassland transect in Inner Mongolia based on Sentinel-2 and meteorological data

H Pang, A Zhang, S Yin, J Zhang, G Dong, N He… - Remote Sensing, 2022 - mdpi.com
Estimating the carbon (C), nitrogen (N), and phosphorus (P) contents of a large-span
grassland transect is essential for evaluating ecosystem functioning and monitoring …

Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison

NEQ Silvero, JAM Demattê, MTA Amorim… - Remote Sensing of …, 2021 - Elsevier
There is a worldwide need for detailed spatial information to support soil mapping, mainly in
the tropics, where main agricultural areas are concentrated. In this line, satellite images are …

Characterizing leaf nutrients of wetland plants and agricultural crops with nonparametric approach using sentinel-2 imagery data

M Dlamini, G Chirima, M Sibanda, E Adam, T Dube - Remote Sensing, 2021 - mdpi.com
In arid environments of the world, particularly in sub-Saharan Africa and Asia, floodplain
wetlands are a valuable agricultural resource. However, the water reticulation role by …

A systematic study of estimating potato N concentrations using UAV-based hyper-and multi-spectral imagery

J Zhou, B Wang, J Fan, Y Ma, Y Wang, Z Zhang - Agronomy, 2022 - mdpi.com
Potato growth depends largely on nitrogen (N) availability in the soil. However, the shallow-
root crop coupled with its common cultivation in coarse-textured soils leads to its poor N use …

Estimation and mapping of soil properties based on multi-source data fusion

AM Mouazen, Z Shi - Remote Sensing, 2021 - mdpi.com
Recent advances in remote and proximal sensing technologies provide a valuable source of
information for enriching our geo-datasets, which are necessary for soil management and …

Vis–NIR spectroscopy combined with GAN data augmentation for predicting soil nutrients in degraded Alpine Meadows on the Qinghai–Tibet Plateau

C Jiang, J Zhao, Y Ding, G Li - Sensors, 2023 - mdpi.com
Soil nutrients play vital roles in vegetation growth and are a key indicator of land
degradation. Accurate, rapid, and non-destructive measurement of the soil nutrient content is …