Machine Learning Python on ppc64le Platforms

Cancellato Pubblicato 5 anni fa Pagato alla consegna
Cancellato Pagato alla consegna

Machine Learning Python on ppc64le Platforms

To estimate tree count with devised area of interest

To estimate tree count with devised area of interests:

- with the devised area of interests in irregular shapes, we need to estimate the land coverage using method like Maximum likelihood estimation.

- With the land coverage of the area of interests, we need to find out the estimated map area in Rai.

- with the estimated map area in Rai, we are basing on stocking of 400 trees per Rai (for stock spacing at 2 meter x 2 meter) and 256 trees per Rai (for stock spacing at 2.5 meter x 2.5 meter) to devise the estimated tree counts for each space stocking.

To Present vegetation index image with label(web applications development)

Based on coordination we have, we need to generate landsat8 map images to devise the vegetation index analysis image on NDVI and NDWI.

From there, using image segetation method, we need to devise the area of interests.

These area of interests are multiple smaller irregular shapes, which each of them will form up a label.

In our frontend, we have a table of the list of labels. Upon clicking on each of these labels, it will show the location on each of these area of interests.

Java JavaScript Machine Learning (ML) Python Architettura Software

Rif. progetto: #17320440

Info sul progetto

3 proposte Progetto a distanza Attivo 5 anni fa

Assegnato a:

earthat

Hi I earlier worked on similar project which calculated the building height in satellite images. Vegetation area was detected using NDVI index and fuzzy clustering index. Trees shadow, long trees height are filtered Altro

$277 SGD in 7 giorni
(38 valutazioni)
5.9

3 freelance hanno fatto un'offerta media di $194 per questo lavoro

kujin2018

hi i am interested in this project i am a machine learning expert i have many experiences let us discuss i can do this perfectly thank you

$155 SGD in 3 giorni
(6 valutazioni)
3.8