{
  "channels": [
    "https://conda.anaconda.org/conda-forge",
    "https://repo.anaconda.com/pkgs/main"
  ],
  "conda_build_version": "3.21.4",
  "conda_private": false,
  "conda_version": "4.10.1",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "conda-forge/r",
      "TomAugspurger"
    ]
  },
  "home": "https://github.com/e-sensing/sits",
  "identifiers": [],
  "keywords": [],
  "license": "GPL-3.0-or-later",
  "license_family": "GPL3",
  "license_file": [
    "D:\\bld\\r-sits_1622281459137\\_h_env/lib/R/share/licenses/GPL-3",
    "LICENSE"
  ],
  "root_pkgs": [
    "anaconda-client 1.7.2 pyhd8ed1ab_1",
    "attrs 21.2.0 pyhd8ed1ab_0",
    "beautifulsoup4 4.9.3 pyhb0f4dca_0",
    "brotlipy 0.7.0 py36h68aa20f_1001",
    "bzip2 1.0.8 h8ffe710_4",
    "ca-certificates 2020.12.5 h5b45459_0",
    "certifi 2020.12.5 py36ha15d459_1",
    "cffi 1.14.5 py36he58ceb7_0",
    "chardet 4.0.0 py36ha15d459_1",
    "click 8.0.1 py36ha15d459_0",
    "clyent 1.2.2 py_1",
    "colorama 0.4.4 pyh9f0ad1d_0",
    "conda 4.10.1 py36ha15d459_0",
    "conda-build 3.21.4 py36ha15d459_0",
    "conda-env 2.6.0 1",
    "conda-forge-ci-setup 3.9.4 py36h6e52ffc_0",
    "conda-package-handling 1.7.3 py36hb5e345e_0",
    "console_shortcut 0.1.1 4",
    "cryptography 3.4.7 py36hd0de82c_0",
    "decorator 5.0.9 pyhd8ed1ab_0",
    "filelock 3.0.12 pyh9f0ad1d_0",
    "glob2 0.7 py_0",
    "idna 2.10 pyhd3eb1b0_0",
    "importlib-metadata 4.3.1 py36ha15d459_0",
    "ipython_genutils 0.2.0 py_1",
    "jinja2 3.0.1 pyhd8ed1ab_0",
    "jsonschema 3.2.0 pyhd8ed1ab_3",
    "jupyter_core 4.7.1 py36ha15d459_0",
    "libarchive 3.5.1 hb45042f_2",
    "libiconv 1.16 he774522_0",
    "liblief 0.11.5 h0e60522_0",
    "libxml2 2.9.12 hf5bbc77_0",
    "lz4-c 1.9.3 h8ffe710_0",
    "lzo 2.10 he774522_1000",
    "m2-bash 4.3.042 5",
    "m2-ca-certificates 20150426 103",
    "m2-coreutils 8.25 102",
    "m2-curl 7.47.1 3",
    "m2-db 5.3.28 3",
    "m2-expat 2.1.1 2",
    "m2-findutils 4.6.0 2",
    "m2-gcc-libs 5.3.0 4",
    "m2-gdbm 1.11 4",
    "m2-git 2.8.1 2",
    "m2-gmp 6.1.0 3",
    "m2-gzip 1.7 2",
    "m2-heimdal 1.5.3 10",
    "m2-heimdal-libs 1.5.3 10",
    "m2-icu 56.1 2",
    "m2-info 6.0 2",
    "m2-less 481 2",
    "m2-libcrypt 1.3 2",
    "m2-libcurl 7.47.1 3",
    "m2-libdb 5.3.28 3",
    "m2-libedit 3.1 20150326",
    "m2-libexpat 2.1.1 2",
    "m2-libffi 3.2.1 2",
    "m2-libgdbm 1.11 4",
    "m2-libiconv 1.14 3",
    "m2-libidn 1.32 2",
    "m2-libintl 0.19.7 4",
    "m2-libmetalink 0.1.2 3",
    "m2-libopenssl 1.0.2.g 2",
    "m2-libp11-kit 0.23.2 2",
    "m2-libpcre 8.38 2",
    "m2-libreadline 6.3.008 8",
    "m2-libsqlite 3.10.0.0 2",
    "m2-libssh2 1.6.0 2",
    "m2-libtasn1 4.7 2",
    "m2-msys2-runtime 2.5.0.17080.65c939c 3",
    "m2-ncurses 6.0.20160220 2",
    "m2-openssh 7.1p2 2",
    "m2-openssl 1.0.2.g 2",
    "m2-p11-kit 0.23.2 2",
    "m2-patch 2.7.5 2",
    "m2-perl 5.22.1 2",
    "m2-perl-authen-sasl 2.16 3",
    "m2-perl-convert-binhex 1.123 3",
    "m2-perl-encode-locale 1.04 2",
    "m2-perl-error 0.17024 2",
    "m2-perl-file-listing 6.04 3",
    "m2-perl-html-parser 3.71 4",
    "m2-perl-html-tagset 3.20 3",
    "m2-perl-http-cookies 6.01 3",
    "m2-perl-http-daemon 6.01 3",
    "m2-perl-http-date 6.02 3",
    "m2-perl-http-message 6.06 3",
    "m2-perl-http-negotiate 6.01 3",
    "m2-perl-io-socket-ssl 2.016 2",
    "m2-perl-io-stringy 2.111 2",
    "m2-perl-libwww 6.13 2",
    "m2-perl-lwp-mediatypes 6.02 3",
    "m2-perl-mailtools 2.14 2",
    "m2-perl-mime-tools 5.506 2",
    "m2-perl-net-http 6.09 2",
    "m2-perl-net-smtp-ssl 1.02 2",
    "m2-perl-net-ssleay 1.72 2",
    "m2-perl-termreadkey 2.33 2",
    "m2-perl-timedate 2.30 3",
    "m2-perl-uri 1.68 2",
    "m2-perl-www-robotrules 6.02 3",
    "m2-sed 4.2.2 3",
    "m2-vim 7.4.1721 2",
    "m2-zlib 1.2.8 4",
    "m2w64-gcc-libgfortran 5.3.0 6",
    "m2w64-gcc-libs 5.3.0 7",
    "m2w64-gcc-libs-core 5.3.0 7",
    "m2w64-gmp 6.1.0 2",
    "m2w64-libwinpthread-git 5.0.0.4634.697f757 2",
    "markupsafe 2.0.1 py36h68aa20f_0",
    "menuinst 1.4.16 py36h9f0ad1d_1",
    "msys2-conda-epoch 20160418 1",
    "nbformat 5.1.3 pyhd8ed1ab_0",
    "openssl 1.1.1k h8ffe710_0",
    "pip 21.1.2 pyhd8ed1ab_0",
    "pkginfo 1.7.0 pyhd8ed1ab_0",
    "powershell_shortcut 0.0.1 3",
    "psutil 5.8.0 py36h68aa20f_1",
    "py-lief 0.11.5 py36he2d232f_0",
    "pycosat 0.6.3 py36h68aa20f_1006",
    "pycparser 2.20 py_2",
    "pyopenssl 20.0.1 pyhd3eb1b0_1",
    "pyrsistent 0.17.3 py36h68aa20f_2",
    "pysocks 1.7.1 py36ha15d459_3",
    "python 3.6.13 h39d44d4_0_cpython",
    "python-dateutil 2.8.1 py_0",
    "python-libarchive-c 3.0 py36ha15d459_0",
    "python_abi 3.6 1_cp36m",
    "pytz 2021.1 pyhd8ed1ab_0",
    "pywin32 300 py36h68aa20f_0",
    "pyyaml 5.4.1 py36h68aa20f_0",
    "requests 2.25.1 pyhd3eb1b0_0",
    "ripgrep 12.1.1 h301d43c_1",
    "ruamel_yaml 0.15.80 py36h68aa20f_1004",
    "setuptools 49.6.0 py36ha15d459_3",
    "shyaml 0.6.2 pyhd3deb0d_0",
    "six 1.16.0 pyh6c4a22f_0",
    "soupsieve 2.0.1 py_1",
    "sqlite 3.35.4 h2bbff1b_0",
    "tqdm 4.59.0 pyhd3eb1b0_1",
    "traitlets 4.3.3 py36h9f0ad1d_1",
    "typing_extensions 3.7.4.3 py_0",
    "urllib3 1.26.4 pyhd3eb1b0_0",
    "vc 14.2 h21ff451_1",
    "vs2008_express_vc_python_patch 1.0.0 0",
    "vs2015_runtime 14.27.29016 h5e58377_2",
    "wheel 0.36.2 pyhd3eb1b0_0",
    "wincertstore 0.2 py36ha15d459_1006",
    "win_inet_pton 1.1.0 py36ha15d459_2",
    "xz 5.2.5 h62dcd97_1",
    "yaml 0.2.5 he774522_0",
    "zipp 3.4.1 pyhd8ed1ab_0",
    "zlib 1.2.11 h62dcd97_1010",
    "zstd 1.5.0 h6255e5f_0"
  ],
  "summary": "The sits R package provides a set of tools for analysis, visualization and classification of satellite image time series. The main aim of SITS is to support land cover and land change classification of image data cubes using machine learning methods. The basic workflow in SITS is:\n\n1. Create a data cube using image collections available in the cloud or in local machines.\n2. Extract time series from the data cube which are used as training data.\n3. Perform quality control and filtering on the samples.\n4. Train a machine learning model using the extracted samples.\n5. Classify the data cube using the trained model.\n6. Post-process the classified images.\n7. Evaluate the accuracy of the classification using best practices.\n",
  "tags": []
}