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Analysis

Our Aim

We are going to calculate plant health on Earth and compare it to factors from NASA datasets and datasets we create, like air pollution, population density, temperature, humidity, daylight time, cloud cover, longitude and latitude, to get an idea of how limiting factors work on a large scale. This could help farmers maximise production and help analyse the reasons for deforestation, and help people find the optimal areas and conditions to plant crops or carry out reforestation.

Datasets used (from https://search.earthdata.nasa.gov)

Dataset name in data/datasets Dataset name on EarthData Use Citation
ndvi ISLSCP_II_GIMMS_NDVI_973 NDVIs used as fallback TUCKER, C. J., PINZON, J., & BROWN, M. (2010). ISLSCP II GIMMS Monthly NDVI, 1981-2002. ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/973
land_cover ISLSCP_II_MODISLC_968 Getting land cover categories FRIEDL, M. A., STRAHLER, A. H., & HODGES, J. (2010). ISLSCP II MODIS (Collection 4) IGBP Land Cover, 2000-2001. ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/968
population_density CIESIN_SEDAC_GPWv4_APDENS_WPP_2015_R11 Human - Population Density Center For International Earth Science Information Network-CIESIN-Columbia University. (2018). Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals, Revision 11 [Data set]. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4F47M65
co2_emissions ISLSCP_CO2_EMISSIONS_1021 Human - Carbon Dioxide Emissions from Fossil Fuels, Cement, and Gas Flaring as of 1995 ANDRES, R. J., MARLAND, G., FUNG, I., MATTHEWS, E., & BRENKERT, A. L. (2011). ISLSCP II Carbon Dioxide Emissions from Fossil Fuels, Cement, and Gas Flaring. ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1021
historical_land_use ISLSCP_II_HLANDCOVER_967 Human - Historical Land Use 1700-1900? GOLDEWIJK, K. K. (2010). ISLSCP II Historical Land Cover and Land Use, 1700-1990. ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/967
gdp ISLSCP_II_GDP_974 Human - Gross Domestic Product as of 1990? YETMAN, G., GAFFIN, S., & BALK, D. (2010). ISLSCP II Global Gridded Gross Domestic Product (GDP), 1990. ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/974
precipitation ISLSCP_CRU5_MONTHLY_MEAN_1015 Natural - Monthly mean precipitation as of May 1961-90 NEW, M., JONES, P. D., & HULME, M. (2011). ISLSCP II Climate Research Unit CRU05 Monthly Climate Data. ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1015
temperature ISLSCP_CRU5_MONTHLY_MEAN_1015 Natural - Monthly mean temperature as of May 1961-90 Please see above
radiation ISLSCP_CRU5_MONTHLY_MEAN_1015 Natural - Monthly mean radiation as of May 1961-90 Please see above

Notes

  • Number of images to process:
    • Takes around 2.5 seconds to open (but not process) 100 photo pairs
    • We have 4146 photos
    • Therefore, opening all the images would take around 2 minutes
  • Land/sea
    • Use location?
    • Then filter by colour?

Installation

  1. Clone the repository: git clone https://github.com/apollo-1845/Team-2-post-processing.git
  2. Download the data files: https://we.tl/t-SQBfFJt4SP and put the vis and nir pictures into the vis and nir directories under data/images
  3. Please add any PIP-installed libraries here with their use:
Dependency Use
numpy Image processing & analysis
opencv Image processing
skyfield ISS Location
tensorflow Land classification neural network
keras Land classification neural network
matplotlib Plotting graphs of results

One way to do this is to save the out folder's contents in data/out then run the following shell script at the root directory of the project:

cd ./data
cp ./out/*_nir.png ./images/nir
cp ./out/*_vis.png ./images/vis
rm -r ./out

TODO: finish this