From f9980d66c1ab4e0bd20a76c19bd6231910639964 Mon Sep 17 00:00:00 2001
From: tkerr1 <theodoremkerr@gmail.com>
Date: Mon, 15 Nov 2021 16:50:38 +0000
Subject: [PATCH] changed the filepath for cci and jpl resample rasters

---
 .../forest_biomass_summary_DRC_output.ipynb   | 87 +++++++++----------
 1 file changed, 43 insertions(+), 44 deletions(-)

diff --git a/country_outputs/forest_biomass_summary_DRC_output.ipynb b/country_outputs/forest_biomass_summary_DRC_output.ipynb
index 8ad6c66..44cd4ed 100644
--- a/country_outputs/forest_biomass_summary_DRC_output.ipynb
+++ b/country_outputs/forest_biomass_summary_DRC_output.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "dominant-titanium",
+   "id": "sharing-writing",
    "metadata": {},
    "source": [
     "# ESA Biomass Climate Change Initiative global forest aboveground biomass dataset v2.0 2010, 2017, 2018\n",
@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "lucky-clearance",
+   "id": "future-rebel",
    "metadata": {},
    "source": [
     "#### Install these R packages first, and load them into the R session. Source R script with support functions."
@@ -27,7 +27,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "surprising-freedom",
+   "id": "saved-albert",
    "metadata": {
     "collapsed": true,
     "jupyter": {
@@ -205,7 +205,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dried-opinion",
+   "id": "lesbian-bibliography",
    "metadata": {},
    "source": [
     "#### Set the path to the CCI, JPL, and NCEO Biomass data folders & read in world countries shapefile"
@@ -214,7 +214,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "romantic-forge",
+   "id": "cultural-exemption",
    "metadata": {},
    "outputs": [
     {
@@ -243,13 +243,12 @@
     "world <- readOGR(\"/projects/shared-buckets/leitoldv/NaturalEarth/ne_10m_admin_0_countries.shp\")\n",
     "\n",
     "#Hansen forest cover, resampled to CCI Biomass and JPL resolutions\n",
-    "gfc_folder <- \"/projects/shared-buckets/leitoldv/gfc_data_resampled\"\n",
-    "tk_gfc_folder <- \"/projects/my-public-bucket/gfc_data_resampled\""
+    "gfc_folder <- \"/projects/my-public-bucket/gfc_data_resampled\""
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "indie-gardening",
+   "id": "level-single",
    "metadata": {},
    "source": [
     "#### Generate 10x10 degree WGS84 grid that the CCI Biomass and Hansen Forest Cover products are tiled on"
@@ -258,7 +257,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "electoral-fitting",
+   "id": "confidential-decision",
    "metadata": {},
    "outputs": [
     {
@@ -280,7 +279,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "mexican-tampa",
+   "id": "informed-schedule",
    "metadata": {},
    "source": [
     "#### Print out country names in Africa to select from"
@@ -289,7 +288,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "labeled-meditation",
+   "id": "foreign-document",
    "metadata": {},
    "outputs": [
     {
@@ -597,7 +596,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "innovative-poland",
+   "id": "unavailable-tenant",
    "metadata": {},
    "source": [
     "#### Select a country in Africa to plot with corresponding data tiles"
@@ -606,7 +605,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "common-coalition",
+   "id": "hawaiian-journalism",
    "metadata": {},
    "outputs": [
     {
@@ -666,7 +665,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "secondary-cartoon",
+   "id": "light-domestic",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -676,7 +675,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "banner-healthcare",
+   "id": "contained-leone",
    "metadata": {},
    "source": [
     "#### Read in the CCI Biomass data for this AOI from the downloaded CCI Biomass tiles, mosaicing multiple tiles as necessary"
@@ -685,7 +684,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "conceptual-socket",
+   "id": "quarterly-circulation",
    "metadata": {},
    "outputs": [
     {
@@ -713,7 +712,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "interracial-exhibit",
+   "id": "shaped-maldives",
    "metadata": {},
    "source": [
     "#### Plot the CCI AGBD for 2020"
@@ -722,7 +721,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "cardiac-proposal",
+   "id": "conceptual-concert",
    "metadata": {},
    "outputs": [
     {
@@ -747,7 +746,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "immediate-excerpt",
+   "id": "wanted-stone",
    "metadata": {},
    "source": [
     "#### Read in the NCEO Biomass data for this AOI from the downloaded data. NCEO data is stored as a single file for the continent of Africa, rather than multiple tiles."
@@ -756,7 +755,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "collective-roads",
+   "id": "hairy-tiger",
    "metadata": {},
    "outputs": [
     {
@@ -809,7 +808,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "incorporate-cursor",
+   "id": "interpreted-advancement",
    "metadata": {},
    "source": [
     "#### Plot the NCEO AGBD for 2017"
@@ -818,7 +817,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "worse-anniversary",
+   "id": "outside-controversy",
    "metadata": {},
    "outputs": [
     {
@@ -859,7 +858,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "global-tunisia",
+   "id": "powerful-gallery",
    "metadata": {},
    "source": [
     "#### Read in the JPL Biomass data for this AOI"
@@ -868,7 +867,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "smart-complement",
+   "id": "arranged-handle",
    "metadata": {},
    "outputs": [
     {
@@ -927,7 +926,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "instructional-peter",
+   "id": "integrated-candy",
    "metadata": {},
    "outputs": [
     {
@@ -958,7 +957,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "pharmaceutical-sullivan",
+   "id": "optical-banana",
    "metadata": {},
    "source": [
     "#### Plot the JPL AGBD for 2020"
@@ -967,7 +966,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "amazing-extension",
+   "id": "interstate-polymer",
    "metadata": {},
    "outputs": [
     {
@@ -992,7 +991,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "arctic-industry",
+   "id": "developed-bracelet",
    "metadata": {},
    "source": [
     "#### Read in forest cover raster. Currently using 30% forest cover from Hansen product. The cover rasters have been resampled to the resolutions of CCI Biomass, JPL Biomass, and NCEO Biomass for use as a forest cover mask."
@@ -1001,7 +1000,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "immediate-perth",
+   "id": "prerequisite-basketball",
    "metadata": {
     "collapsed": true,
     "jupyter": {
@@ -1055,7 +1054,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fluid-flashing",
+   "id": "appointed-dublin",
    "metadata": {},
    "source": [
     "#### Create 30% cover forest threshold mask for CCI"
@@ -1064,7 +1063,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "brief-brooklyn",
+   "id": "other-offense",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1077,7 +1076,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "reasonable-delight",
+   "id": "enabling-citation",
    "metadata": {},
    "source": [
     "#### Create 30% cover forest threshold mask for JPL"
@@ -1086,7 +1085,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "fatty-requirement",
+   "id": "vertical-aside",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1099,7 +1098,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "lesser-panama",
+   "id": "common-bulgaria",
    "metadata": {},
    "source": [
     "#### Create 30% cover forest threshold mask for NCEO"
@@ -1108,7 +1107,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "blank-programmer",
+   "id": "prompt-broadcasting",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1122,7 +1121,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "military-decrease",
+   "id": "weighted-updating",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1134,14 +1133,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "sonic-equilibrium",
+   "id": "interior-scholarship",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
-   "id": "athletic-hawaiian",
+   "id": "seeing-number",
    "metadata": {},
    "source": [
     "## The following is old code I'm keeping here for reference purposes"
@@ -1149,7 +1148,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "professional-anthropology",
+   "id": "involved-blink",
    "metadata": {},
    "source": [
     "#### Calculate total aboveground biomass and average aboveground biomass density for 2020 CCI and NCEO biomass for the selected country"
@@ -1158,7 +1157,7 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "driven-benjamin",
+   "id": "typical-patent",
    "metadata": {
     "collapsed": true,
     "jupyter": {
@@ -1370,7 +1369,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "enormous-master",
+   "id": "harmful-notification",
    "metadata": {},
    "source": [
     "#### Print out basic forest aboveground biomass statistics for the selected country\n",
@@ -1380,7 +1379,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "reverse-justice",
+   "id": "specified-label",
    "metadata": {},
    "outputs": [
     {
@@ -1410,7 +1409,7 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "canadian-timeline",
+   "id": "incredible-cable",
    "metadata": {},
    "outputs": [
     {
@@ -1457,7 +1456,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "frank-cannon",
+   "id": "charged-demand",
    "metadata": {},
    "outputs": [],
    "source": []
-- 
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