Abstract
Sugarcane is a perennial crop that contributes to nearly 80% of the global sugar-based products. Therefore, sugarcane growers and food companies are seeking ways to address the concerns related to sugarcane crop yield and health. In this study, a spatial and spectral analysis on the peak growth stage of the sugarcane fields in Bundaberg, Queensland, Australia is performed using the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Red Edge Index (NDRE) derived from high-resolution WorldView-2 (WV2) images and multispectral Unmanned Aerial Vehicle (UAV) images. Two topics are chosen for this study: 1) the difference and correlation between NDVI and NDRE that are commonly used to estimate Leaf Area Index, a common crop parameter for the assessment of crop yield and health stages; 2) the impact of spatial resolution on the systematic difference in the abovementioned two Vegetation Indices (VIs). The statistical correlation analysis between the WV2 and UAV images produced correlation coefficients of 0.68 and 0.71 for NDVI and NDRE, respectively. In addition, an overall comparison of the WV2 and UAV-derived VIs indicated that the UAV images produced a better accuracy than the WV2 images because UAV can effectively distinguish various status of vegetation owing to its high spatial resolution. The results illustrated a strong positive correlation between NDVI and NDRE, each derived from the WV2 and UAV images, and the correlation coefficients were 0.81 and 0.90, respectively, i.e.The correlation between NDVI and NDRE is higher in the UAV images than the WV2 images.
| Original language | English |
|---|---|
| Pages (from-to) | 655-661 |
| Number of pages | 7 |
| Journal | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Volume | 5 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 3 Aug 2020 |
| Externally published | Yes |
| Event | 2020 24th ISPRS Congress on Technical Commission III - Nice, Virtual, France Duration: 31 Aug 2020 → 2 Sept 2020 |
Bibliographical note
Funding Information:Remote sensing data were obtained from sugarcane field trials at Bundaberg Research Facility of Queensland Department of Agriculture and Fisheries. The field trial was part of the “Smart blending of enhanced efficiency fertilisers to maximise sugarcane profitability” project under the More Profit from Nitrogen Program, supported by funding from the Australian Government Department of Agriculture as part of its Rural R&D for Profit program, Sugar Research Australia Ltd and Queensland
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