This is your work, valued

Gower St., London, UK

Feng Yin

Expert
@MarcYin

Remote sensing researcher at UCL developing open-source tools for atmospheric correction, vegetation monitoring, and satellite-based Earth observation.

profiles.ucl.ac.uk/62572-feng-yin

SIAC. A sensor invariant Atmospheric Correction (SIAC)

72

SIAC_GEE. SIAC GEE version

64

S2_TOA_TO_LAI. From Sentinel 2 TOA reflectance to LAI

23

libradtran. libradtran conda package

20

Sen2Yield. Crop production with Sentinel data on GEE

8

atmo_cor. Python

6

geog0111. UCL Geography: 4th year course, Scientific Computing

6

ARC. Python

5

Global-analysis-ready-dataset. Jupyter Notebook

4

Spectral_Mapping. Jupyter Notebook

4

GeeBatch. Batch submitting and cancelling GEE tasks

4

SentinellingCrop. Determining how the COVID-19 pandemic is affecting the food supply with Sentinelling Crop

3

spatial_mapping. A spatial mapping for coarse and high resolution satelite images

3

Soils. Gathering soils available on the internet

2

Two_NN. Two hidden layers neural net with ReLU activation

2

S2_MODIS. Jupyter Notebook

2

PROSAIL_forward_NN. Python

2

TRUTHs-surface-reflectance-scheme. Python

2

MT_SIAC. In this one, we want to expand current SIAC into multi-temporal one, which can use temporal contain from time series of S2 and L8.

1

Aeronet. Jupyter Notebook

1

L8_ATM_COR. Jupyter Notebook

1

NCEO_ARD. NCEO Sentinel 2 analysis ready dataset (ARD)

1

TEST_SIAC. JavaScript

1

annual_cloud. Jupyter Notebook

1

S2_MODIS_codes. Python

1

BSM_soil. Python

1

NCEO_ARD_STAC_API. Python

1

Copernicus_GLO_30_DEM_VRT. Python

1