hamidrezaomidvar/LINDER
LINDER (Land use INDexER) is an open-source machine-learning based land use/land cover (LULC) classifier using Sentinel 2 satellite imagery
Python
Issues
- 1
Road and vegetation underprediction
#20 opened by hamidrezaomidvar - 2
- 0
Sentinel configuration text: needs to be placed in README.md instead of referenced page
#19 opened by hamidrezaomidvar - 0
OpenMP might not be installed
#14 opened by hamidrezaomidvar - 0
- 0
- 0
xn and yn potential confusion
#18 opened by hamidrezaomidvar - 1
- 0
TODOs for LINDER package
#13 opened by hamidrezaomidvar - 4
Using Mode instead of median of mean for automation of image prediction
#12 opened by hamidrezaomidvar - 0
Setting up test cases for the package
#11 opened by hamidrezaomidvar - 0
- 1
nc_spm_08 data
#9 opened by sunt05 - 3
Extract building footprint from RS imagery
#6 opened by sunt05 - 0
- 1
another LC data source
#8 opened by sunt05 - 2
Adding roads from OSM
#7 opened by hamidrezaomidvar - 1
Warning if a big domain is chosen
#3 opened by hamidrezaomidvar - 3
Evergreen vs deciduous
#5 opened by hamidrezaomidvar - 0