Finally, this model was applied to predict high spatial resolution NDVI using MODIS and Sentinel-1 data acquired in target area from 1 January 2020~31 December 2020. Although there were mismatch in the original MODIS and Sentinel-2 NDVI data, the model predicted NDVI with acceptable accuracy (MAE = 0.108, ρ = 0.650 on average).
Next, 250-m NDVI from MODIS data was used as input to confirm this model under conditions replicating an actual application case. Then, the generality of this model was validated by applying it to test data acquired in 2020, with the result that the model predicted the NDVI with reasonable accuracy (MAE = 0.090, ρ = 0.734 on average).
First, this downscaling model was trained to estimate Sentinel-2 10-m resolution NDVI from a combination of upscaled 250-m resolution Sentinel-2 NDVI and 10-m resolution Sentinel-1 SAR data, by using data acquired in 2019 in the target area. This model is capable of estimating 10-m high resolution NDVI from MODIS (Moderate Resolution Imaging Spectroradiometer) 250-m resolution NDVI by using Sentinel-1 10-m resolution synthetic aperture radar (SAR) data. To relieve this problem, a convolutional neural network (CNN) based downscaling model was proposed in this research.
However, there is generally a trade-off between temporal and spatial resolution when using satellite images. For these applications, acquiring NDVI in both high spatial resolution and high temporal resolution is preferable. Since its introduction in the 1970s, NDVI has been used widely for land management, food security, and physical models. ☆☆look at my other listings for more snap on.The normalized difference vegetation index (NDVI) is a simple but powerful indicator, that can be used to observe green live vegetation efficiently. (NO EXEPTIONS)if you can't do this don't bid. Works fine ideal for most problems great for any mechanic, first to view will buy £650 bargain, ,it is in great conditoin, i will only post if the( ITEM) is paid for first via a bank transfer, p+p will be £15 parcel force 48 hour. ☆☆look at my other listings for more snap on.thanks Snap on modis ultra diagnostic 17.2. Artikelnummer: 185806124987 Snap on tools modis ultra diagnostic scanner (17.2) read the add.
0 kommentar(er)
