I have been quite successful to perform general aerial mapping, producing othomosaic and digital surface model for our local plantation company. Our Skywalker base UAV power by APM is a very reliable tools for acquire aerial images. Currently for a typical mission we fly at 300 meter altitude and resulting ground sample distance is about 9 to 12 cm per pixel using Canon S100 GPS.
I am very excited to learn that Agpixel is providing a way to transform Near Infra Red images to NDVI, which may become a very powerful tools for the agronomist or the plantation management personnel to zoom in the problematic area as soon as possible before more severe damage or losses occur. This type of information will be crucial for the agronomist in their recommendation of fertilizer input, which account for 60% of the overall cost of production for oil palm plantation.
To acquire NIR image, I am using Maxmax modify NDVI Canon S100 GPS camera. The images quality is very good. Agpixel has maxmax modify camera setting ready to use so the user no need to tweak parameter like imageJ. A few click later, some beautiful false color image can be generated for viewing or export to various format.
Here come the tricky part, while the false color image is very attractive but how to adjust the parameter so the information presented in the false color image will be accurate and useful to the user has yet to finalize. More research will be needed. It will not serve the purpose to supply an eye appealing NDVI false color images and only to found out that the data is not accurate or misleading.
According to Mark Lanning, the CEO of Agpixel, the program is under massive update and I hope the final product can deal with cloud shadow issue, support large ( Gigabyte ) file and output geo-reference images. For the mean time, this program may be targeted for researcher and the professional from remote sensing field. I can not find a manual or tutorial on how to use it. In my opinion, a comprehensive and detail manual plus video tutorial is crucial if this product is target for general mass market. Most of the farmer or even agronomist may not well train in remote sensing subject.
With the hard work of Mark and his team, I hope Agpixel will become a leading software for precision agriculture and ultimately help the world to produce more food in the most efficient way.
Near Infra Red Othomosaic image
False Color Composite image