Clip and download planet images

$50-200 USD

Completed

Posted

over 5 years ago

$50-200 USD

Paid on delivery

First, if you are not having good experience with remote sensing data, GIS, GDAL, Python and Planet API, GEOJSON, as well as varying environment and modules or packages for python, please do not bid this project. This is a very urgent task. Batch downloading subset images using Planet API and Python environment. Planet offers daily images of earth but with download quota. We can download manually from the website. But, this consumes the quota quickly. In order to save the quota for a small study area, Planet offers several options but can only be executed with some little coding. Planet Scope 4 band images are tiff format. Each tiff format has four composing layers (called band1, band 2, 3 and 4). Planet also gives some tutorials on how to apply several filters to the search before downloading, such as selecting image types, cloud cover, dates range, and geographic extent.

Project ID: 17639199

About the project

3 proposals

Remote project

Active 6 yrs ago

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Awarded to:

@Affifa20

hi . i have my specialaization in RS and GIS .. i can do automation in ArcGIS using python by itilizing arcpy and other modules. I am bidding low according to the task .. i will deliver this task to you before 2 days .. may be in 1 day .. i can download any type of satellite imagery not only from planet but also from usgs and other data sharing websites .. messge me so that we may discuss it further

$90 USD in 2 days

5.0

(6 reviews)

3.6

3 freelancers are bidding on average $182 USD for this job

@juniadsarfraz

4+ years of professional experience as GIS Developer and Mapper. I can do this. Contact me. Thanks

$300 USD in 10 days

5.0

(6 reviews)

5.3

@medharwt

Hey I have idea of both python and I have done intern from IIRS Dehradun, so I am familiar to both the things. We can definitely make this problem solved quickly.....................................................................................

$155 USD in 10 days