From 13f0c6f3fba1919bd70776ea60331c27730879aa Mon Sep 17 00:00:00 2001 From: Kata Martin Date: Wed, 23 Mar 2022 08:58:39 -0700 Subject: [PATCH] format --- posts/climate-trace-release.md | 3 ++- posts/open-lidar-biomass.md | 32 ++++++++++++++++---------------- posts/soil-protocols-added.md | 4 ++-- posts/ton-year-ncx.md | 4 +++- 4 files changed, 23 insertions(+), 20 deletions(-) diff --git a/posts/climate-trace-release.md b/posts/climate-trace-release.md index 24f5a7f..874971d 100644 --- a/posts/climate-trace-release.md +++ b/posts/climate-trace-release.md @@ -20,7 +20,8 @@ For the initial release of the Climate TRACE platform we used established method
- Cumulative emissions from forests (2001 - 2020). Pixels are 1º x 1º. Open the{' '} + Cumulative emissions from forests (2001 - 2020). Pixels are 1º x 1º. Open + the{' '} - Example LiDAR return signal, which could result in two different tree heights - depending on the choice of methods. The y-axis represents distance from the - satellite where the LiDAR instrument is located. A higher value (lower - position) on the y-axis indicates a distance farther from the satellite, and - thus closer to the center of earth. (Note that for simplicity we show the top - of the y-axis as 0. The actual distance from the satellite can be calculated - by adding ~600,000 meters). A higher value on the x-axis indicates a larger - return signal strength at that distance, implying high reflection and more - tree surface area at that height. The raw LiDAR return data are plotted in - dark gray dots and a fitted smooth curve is plotted in white. In this example, - using either of the two definitions of ground peak lead to different - calculated magnitudes of Max Vegetation Height (25% less when using - alternative ground peak in this example). In general, allometric equations - relying on Max Vegetation Height as an input would estimate higher - biomass (if using the yellow ground peak) or lower biomass (if using the pink - alternative ground peak).{' '} + Example LiDAR return signal, which could result in two different tree + heights depending on the choice of methods. The y-axis represents distance + from the satellite where the LiDAR instrument is located. A higher value + (lower position) on the y-axis indicates a distance farther from the + satellite, and thus closer to the center of earth. (Note that for simplicity + we show the top of the y-axis as 0. The actual distance from the satellite + can be calculated by adding ~600,000 meters). A higher value on the x-axis + indicates a larger return signal strength at that distance, implying high + reflection and more tree surface area at that height. The raw LiDAR return + data are plotted in dark gray dots and a fitted smooth curve is plotted in + white. In this example, using either of the two definitions of ground peak + lead to different calculated magnitudes of Max Vegetation Height (25% + less when using alternative ground peak in this example). In general, + allometric equations relying on Max Vegetation Height as an input + would estimate higher biomass (if using the yellow ground peak) or lower + biomass (if using the pink alternative ground peak).{' '}
diff --git a/posts/soil-protocols-added.md b/posts/soil-protocols-added.md index efe90fc..68411cf 100644 --- a/posts/soil-protocols-added.md +++ b/posts/soil-protocols-added.md @@ -94,8 +94,8 @@ Combining the new analysis with our results from before, we can look at all the interactive version {' '} of this table. Abbreviations: Grazing (G), Compost (C), Cropping (Cr), - Improved Agriculture (IA), Sustainable Agriculture (SA), Fire + Grazing (FG), - Austrailia (Aus), Alberta (Alb) + Improved Agriculture (IA), Sustainable Agriculture (SA), Fire + Grazing + (FG), Austrailia (Aus), Alberta (Alb) diff --git a/posts/ton-year-ncx.md b/posts/ton-year-ncx.md index 105e15f..085c983 100644 --- a/posts/ton-year-ncx.md +++ b/posts/ton-year-ncx.md @@ -45,7 +45,9 @@ Tables 1 and 2 report these values for a timeframe of 100 years and 1000 years,
- Calculations for a 1000-year timeframe. + + Calculations for a 1000-year timeframe. +
As you can see, the equivalence ratio expands more than tenfold (from 129.61 to 1322.20) when undiscounted physical impacts are compared across 100- and 1000-year timeframes, respectively. In contrast, when using discounted impacts, the equivalence ratio is almost constant across these two distinct timeframes (30.08 versus 30.81).