зеркало из https://github.com/microsoft/landcover.git
201 строка
649 KiB
Plaintext
201 строка
649 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "conceptual-petersburg",
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"metadata": {},
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"outputs": [],
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"source": [
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"%matplotlib inline\n",
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"\n",
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"import numpy as np\n",
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"import matplotlib\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"from web_tool.DataLoader import DataLoaderLCLayer, DataLoaderUSALayer\n",
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"from web_tool.Utils import COLOR_MAP_LC4\n",
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"CMAP_LC = matplotlib.colors.ListedColormap(COLOR_MAP_LC4)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "beginning-suggestion",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Georgia Tech polygon -- created haphazardly on http://geojson.io/\n",
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"geom = {\"type\":\"Polygon\",\"coordinates\":[[[-84.40798044204712,33.7709248470267],[-84.3883466720581,33.7709248470267],[-84.3883466720581,33.781876094145616],[-84.40798044204712,33.781876094145616],[-84.40798044204712,33.7709248470267]]]}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "executive-rider",
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"metadata": {},
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"outputs": [],
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"source": [
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"lc_loader = DataLoaderLCLayer(padding=0)\n",
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"naip_loader = DataLoaderUSALayer(padding=0)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "polish-midwest",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Found 1 intersections, returning at 1_3_2019/data/v1/2010/states/ga/ga_1m_2010/33084/m_3308413_se_16_1_20100811_probs.tif\n",
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"Found 10 intersections, returning at v002/ga/2019/ga_60cm_2019/33084/m_3308413_se_16_060_20190910.tif\n"
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]
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}
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],
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"source": [
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"lc_data = lc_loader.get_data_from_geometry(geom)\n",
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"naip_data = naip_loader.get_data_from_geometry(geom)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "victorian-southwest",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(1262, 1851, 4)"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"lc_data.shape # this is height x width x per-class probabilities"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "fifty-family",
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"metadata": {},
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"outputs": [],
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"source": [
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"lc_data = lc_data.data.argmax(axis=2)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "actual-offset",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(2102, 3083, 4)"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"naip_data.shape # this is height x width x channels -- the channels are R,G,B,NIR"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "protected-canada",
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"metadata": {},
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"outputs": [],
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"source": [
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"naip_data = naip_data.data[:,:,:3] # Keep the RGB channels"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "exclusive-saturday",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAAGKCAYAAAAIdJtvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOz9V5dlS5alh30mtzraZeiIK1NWZ3U2UMVqAiAG8E7+Nr7ygb+AL1QDHE0Jkt2NFlVZIsXNzCtCerg6fuTWZsYH2+4RWdWd6M4aTQA9fI1xw8Ovu584vrdts7XmmnMuEULgPu7jPu7jPu7jPu7jP+aQ/0O/gfu4j/u4j/u4j/u4j//QcZ/w3Md93Md93Md93Md/9HGf8NzHfdzHfdzHfdzHf/Rxn/Dcx33cx33cx33cx3/0cZ/w3Md93Md93Md93Md/9KF/3xeFEPcSrvu4j/u4j/u4j/8JhhDi3/o1qSRG/24KcPv91hjyPAMB3GYBIv6hleLgYI4Q8fud8zjn8SGw2jcsDg+w1pAYzdFsTAie1FpCCORFznQyoneBX788I01TpJR0vQMh+JOffMmLx48IIdA0DdZapFS0ruN/93/8v/J/+T/8n/97f+cQwr/1l/69Cc993Md93Md93Md9/DuGECgphsTh42wBpFTYxKKkRAhB8D7+iBQYrZnNptB2eCVASrwP3GxrfAhMDkZoIxjblLIKlG2HEJ5RmvL00SlPH52SGIvzjq7rUUqSZRmHBwe8u7hkH2AxzhHdnn1TU3Y1ozzjdHqMkBJrDdZ8eG/W2pjwfBRSirtfx1hDCIEQPG3TUTUNTdfzL399zmJWoLSi2tf80WcPeXi4YLFY4J3Dh4CUgl1Z82e7kpPDBVprQgisN1uEgIPZFB88bdOglMLYhLKs+LOf/gP+yf/pv8EP1+0PifuE5z7u4z7u4z7+Rx1SCAIQ+N2mg0AglEIIkAIQAgE4FxBSkBVJ/DkPSHB9QCqBlIJikuGDIIRAkWisVhiVYHXCyfERaZoA0FRbRHAIIXEhMF/MODg4pa4bNvuGIk+x2vPnv37FctfxydM5/+n3P0GKhLbt8MEjhSQgsFnKo5MjrNZcXV/gfCBLU6QyaKVIVyVbHSCzlFXH//1fv6J1PeO5ZDIPfHn0gNBZ/vzrK6TwHC0m/PjFA7736XOUlPTO4fqeJLEkSUII8MuvvmZbNyglmBYGiWB5s8QYg9YmJhXGxGRHSqQQSClhQHAExETnFjcJ4IPHe4d3HVLG+yOFREpJ1fVoH6jrloPJiOOj44gEiZgICik5sAkHs9ndCwbg+GA+3KtA3/dIGb9XICiKnPlk/PdeR/cJz33cx33cx33chRACPbQ6fhejiAdbUeQEwPtA7xxKxjaHEIL5fIZS6qOfCLcvysFiTpalEEJMTIb2iQAODhaMRgV/xwhXCEZFznQ64S+/+g3vd2uEDOxqh/SBqvPIxFDkmqOFQSnJfuk5vyqZnhi++GxGWTnqsqeXsF73FIUmSTVCCsq9JwTHi8cZh+MRx9kJx6OHaK1RSiKAzc0Zoa9QytD4HmNziuKQ3b6k7RyL+Yyu3XPVC+x2y+goQY0tYzWjC5AbiQ8B5z1WG6QUWKspipy27cnShCAUTdPSZxapYgpQ1h0uAEi6PtB3nta1nE6mPFrknN1sMFKSWEOWJggEJniCtwgp6bseKSVffPacEMJwvWOrqO8aPDFBESImfc57RAh4IZB36JPkQ38oZj2BAMGz2W2RMjAfTWjaHikhSzRl21KkKSH4u3/3NlkNPqCExBPRodtE1vV9TLCI70UKgfMB13cAKKX+TrL7h8R9wnMf93Ef9/H/h7jd+D8mGNx+ro2GYbP/mDIRAmhjEEJS5AlZYkEIQvAIYLGYkViLu6uK5R23YlQU5HnG++WSSrRICakxHBVzFtMZ68bx8mLJ6WLE/+zHP8JaC0CSJBwfH969B4b3ARE1mc9m7MqS99drvv7uLQ+mCc9fPAUEaZrcHaAfDtn4fqSUCIZkJ55uHzgm4fZD+J3Pb99A1/W8vdnTZIbZgaX1jnrf0/iem+seevDCUjcOryTFoQYFzkmyXFHW0LvAwdxgrEQZQe8DOglYmTArMqw0zPMpf5v2opTG9QM6gUBKhQ8BIRS7sqR314xSwQ+fzmneNRSFwWhF1zsePXpEtdvQNM3AdXGRmzK0ccRHqAkIbJ5htGBf7rBGMko1m7oj+ICXkJoEKSU/enFImrU0radzPV3fY4bX9MEjQ2yVSSVRw0V0ztH7mGTYJI0JjpB3Sab4KAn1t3mq9/xu2hs/Bu9JkxSFj+tCxKT32dGYq32DkIrNds+uau5+br/fobUmTXPatkFJiTQW73ratonokpQ45wgh0Pcdfd+TphlJkvzbHqt/r7hPeO7jPu7jP8oQ8m+JUD8qEKXWcXMPHw7Z28+lNiitYrtECBazYvj5wNHRgjxL0VpzubkmMwlFUiAElB20QkPb8Cc/+R5plt1mChhj+KvffMfbmyV5oVAhoWuh6XuECoxGE7re4XpP13uUVBhjcZ0j+Pjenj064B//5DMenBxS1zuKPMFojVQK7wPOuSFJCmitEVLS1A1vz17zi6v3bF3FyWjE908+I7cZv3lzhfv2JU8PJ/wX//mfkWf575xtf7eiDnfXazadIJTm/dWKUW6ZTCZ3X+ejhOfDhY8v3Peeuu0/+n/DPxcCfvgYkz6BCCCVQEmJ947DwzlbuQPZs7npsd4zspowiUlekWuMkzQ2kBrLLJccjiwewS4PmN6TZ7G1ZJQkCA9ekmqJRpOJlNxk9D7+mwzXMgQPUiCkQHhJ51pSBIvFAqkkXduD6KhqT7kSnI4M8yShDKCkJM8yur5HdP2Q4AwoCSH+LQQ8nt71jKxG4gkB2t4zzhT7rkNIQZpo+tATCBSp5fPjE85WLU3d0jQ1SuZ47wd+0PC63iOlRMqIkAhAKoWUcgDaBGFY9wwtwSEn/TsPzoelERMcJRVSSJRWAyLjmI8siZHcNAHnA/uqwXkHQJ4VQ9IL1ibc4ntKGbJc3z1jXscWIAPPSUh5ty7+vnGf8NzHfdzHv3sMsPPH8WETlLGqlB++frvB53nkCvgQqBsfDTEiMk6SW5LcIoXEKsU4SdnuOla7knxuGBUZmRwxylOM0bRNh1JwcjDm5PQEozVt5/iXv/qGq+2GbKrRSpFPMmybM7Fj8iyhqjp+/e0ZzgeUjpWyd47O9dhEY7WmbltCEFhjMdrgnOP7nz3gB18+ZZRaTg8nIDxNv+P11UueHTwnNwVCSla7hr/4zTtevjzjsy++4I//6HsYYyEE/urnX/F6VSPzOU46cpuwvNnR7SpODqYczqe0bUuWJ2zXNd++PWeSFfzoj58RQiAxhtRqNlXHA2WZTA/JE0HXNQQif0VqdXdSxVZBRJRym/FifMwvLs5ISbBKE4BxkZKlGuTvOUzCx6ff7ZEXD/9RljLJUsDHA+kuUwq/c2h6H+D2EO86smxEmiR3SBSI+Pfbj/GPj9Cl+P4OD474k+77/Ld/808RYUnXeGaTnHlwbPcteSbpg2JbOoQJtAK2lSfLFIlVdCEghaSQllmWgA9c1DUNjlXdMc/S+NaDxwePGg5daRLariK4eBD7AT2p6oqb9Y4iMwgB26pjXze8WjlmyyWPJ6eU+5JJkZIaS9u0d9yYruvpexd5MMETQjzc67oEIhqTakluDbiaUSFJdLhLxHyAcZYymS3oBuTIe4f3YUDT1IACCoSIvBx3h+TIu/bW7XUO/K3bfPf8frjnELjVbcckydP1HWmIHCoCKOeY5AZhwChJXTV479HaIOVtqzO+TuA2IRMf9hQh4nW//fdvE7WP0Ke/T9wnPPdxH/8jDq313Yb0cSIBkKUpxpr4SYB+gLatMSSJQWiBVfbuUIlETrA2pXWCfbNHaI9JJcEFjFAUNqHsJMZYfvK9p1gleHm24d3minwCaZEzG2Vk1pIZjXSWr96eE1TL8j3kU83sMEXaQJYp5pOEEAQHmcFqw7vzmjfXFcKCTTTtLmASxXRu0cMh/aMHD/D7lP/bX33Fwy/gaJS
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"text/plain": [
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"<Figure size 720x720 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 720x720 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {
|
||
|
|
"needs_background": "light"
|
||
|
|
},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"plt.figure(figsize=(10,10))\n",
|
||
|
|
"plt.imshow(naip_data)\n",
|
||
|
|
"plt.axis(\"off\")\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"plt.close()\n",
|
||
|
|
"\n",
|
||
|
|
"plt.figure(figsize=(10,10))\n",
|
||
|
|
"plt.imshow(lc_data, cmap=CMAP_LC, vmin=0, vmax=3, interpolation=\"none\")\n",
|
||
|
|
"plt.axis(\"off\")\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"plt.close()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "consolidated-spell",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"metadata": {
|
||
|
|
"kernelspec": {
|
||
|
|
"display_name": "landcover",
|
||
|
|
"language": "python",
|
||
|
|
"name": "conda-env-landcover-py"
|
||
|
|
},
|
||
|
|
"language_info": {
|
||
|
|
"codemirror_mode": {
|
||
|
|
"name": "ipython",
|
||
|
|
"version": 3
|
||
|
|
},
|
||
|
|
"file_extension": ".py",
|
||
|
|
"mimetype": "text/x-python",
|
||
|
|
"name": "python",
|
||
|
|
"nbconvert_exporter": "python",
|
||
|
|
"pygments_lexer": "ipython3",
|
||
|
|
"version": "3.8.6"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 5
|
||
|
|
}
|