From 02614f31f5f59b6771ce44f5e6efb512937cb60b Mon Sep 17 00:00:00 2001 From: Mattia Almansi Date: Tue, 11 Jun 2024 08:56:44 +0200 Subject: [PATCH] new q02 --- ...te-albedo_consistency-assessment_q02.ipynb | 32 +++++++++---------- 1 file changed, 15 insertions(+), 17 deletions(-) diff --git a/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-albedo_consistency-assessment_q02.ipynb b/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-albedo_consistency-assessment_q02.ipynb index aa95a4c2..cead71ff 100644 --- a/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-albedo_consistency-assessment_q02.ipynb +++ b/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-albedo_consistency-assessment_q02.ipynb @@ -5,7 +5,7 @@ "id": "5668b305-081f-40fb-998d-a17b29fdb731", "metadata": {}, "source": [ - "# Use case: Identification of changes in Amazon rain forests from surface albedo\n", + "# Use case: Identification of changes in Amazon rainforests from surface albedo\n", "### User question: *Does the resolution of albedo dataset allow to identify the changes in forest areas due to human activities?*" ] }, @@ -14,23 +14,21 @@ "id": "2e77dafa-3c96-473d-bbfd-abf58fc02166", "metadata": {}, "source": [ - "### Abstract\n", - "\n", "Amazon is the world's largest rainforest. Besides, being rich in biodiversity, it plays a significant role in maintaining earth’s atmosphere (Brandão et al., 2022). However, due to various reasons such as cropping, cattle ranching, mining and commercial farming etc, the forest is witnessing huge deforestation (Cruz et al., 2021). Deforestation has a key contribution to the global hydrological cycle and, energy budget as well as on the preservation of the ecosystems. Satellite-derived albedo data offers a critical means to monitor Amazon rainforest coverage and assess the impact of human activities. By analyzing changes in surface reflectivity due to the conversion of vegetation to other land uses with satellite data from the Climate Data Store (CDS) of the Copernicus Climate Change Service (C3S), users can quantify the extent of forest loss and degradation attributable to human intervention as well as the precision of different satellite resolutions. Such insights are essential for informing conservation strategies and promoting sustainable land management practices in the region.\n", - "This notebook assesses the capability of the albedo dataset in identifying changes in coverage of forest areas due to the human activities. It concluded that the resolution of CDS surface albedo 10-daily gridded dataset is sufficient for identifying the changes in forest areas due to anthropogenic activities.\n", + "This notebook assesses the capability of the albedo dataset in identifying changes in coverage of forest areas due to the human activities. It concluded that the resolution of the CDS surface albedo 10-daily gridded dataset is sufficient for identifying the changes in forest areas due to anthropogenic activities.\n", "\n", "### Quality assessment statement\n", "\n", - "1. The C3S surface albedo dataset identifies changes in forests area due to human activities.\n", + "1. The C3S surface albedo dataset identifies changes in forest areas due to human activities.\n", "2. The resolution of the recent Proba satellite can represent data more accurately than the previous satellites.\n", "\n", "### Methodology\n", "\n", "The analysis comprises the following steps:\n", - "1. Download surface albedo data NOAA-11 AVHRR v2 (time-period 1990-1991) (horizontal_resolution: ~ 4km) and PROBA-VGT v2 (time-period 2018-2019) (horizontal_resolution: ~ 1km) (ALBB_BH (broadband hemispherical albedo over total spectrum); temporal resolution: 10 days)\n", - "2. Define plotting and printing area statistics function\n", - "3. Create raster plot of regridded NOAA-11 AVHRR (1990-1991)\n", - "4. Create raster plot of regridded PROBA VGT (2018-2019) \n", + "1. Download surface albedo data for NOAA-11 AVHRR v2 (time-period 1990-1991) (horizontal_resolution: ~ 4km) and PROBA-VGT v2 (time-period 2018-2019) (horizontal_resolution: ~ 1km) (ALBB_BH (broadband hemispherical albedo over total spectrum); temporal resolution: 10 days).\n", + "2. Define plotting and printing area statistics function.\n", + "3. Create a raster plot of the regridded NOAA-11 AVHRR (1990-1991).\n", + "4. Create a raster plot of the regridded PROBA VGT (2018-2019). \n", "5. For validation of the results, refer to and import Google Earth images of the region corresponding to both time-periods." ] }, @@ -47,12 +45,12 @@ "id": "f66179ac-d066-4496-89bf-9562bb3da688", "metadata": {}, "source": [ - "* Import packages: We use standard libraries (numpy, pandas, xarray, cartopy.crs, matplotlib.colors, matplotlib.pyplot) for this notebook. \n", - "* Define parameters and transform data: After defining the parameters, w we use a very basic processingtimeal weighted me)an over the entirchosen region and transform the data.\n", - "* Define area printing function: Further, we define the function to plot the raster data and print the area statistics as per the specified threshold.\n", - "* Regridding: As NOAA-AVHRR dataset (4km) has lower spatial resolution than PROBA-VGT (1km), it is regridded to the grid size of PROBA-VGT.\n", - "* Raster plot and area calculation: Using the function defined above, we created raster plot of the region for both the time-periods. \n", - "* Validation: We imported the Google Earth images of the region for both the time-periods for visual validation of the results obtained from albedo." + "* Import packages: We used standard libraries (numpy, pandas, xarray, cartopy.crs, matplotlib.colors, matplotlib.pyplot) for this notebook. \n", + "* Define parameters and transform data: After defining the parameters, we used a very basic processing time weighted mean over the selected region and transform the data.\n", + "* Define area printing function: Further, we defined the function to plot the raster data and print the area statistics as per the specified threshold.\n", + "* Regridding: As NOAA-AVHRR dataset (4 km) has lower spatial resolution than PROBA-VGT (1 km), it is regridded to the grid size of PROBA-VGT.\n", + "* Raster plot and area calculation: Using the function defined above, we created raster plot of the region for both time-periods. \n", + "* Validation: We imported the Google Earth images of the region for both time-periods for visual validation of the results obtained from albedo." ] }, { @@ -399,10 +397,10 @@ "id": "05e831f9-eff7-4aa1-a9af-841d6ff315ab", "metadata": {}, "source": [ - "1. The resolution of CDS surface albedo 10-daily gridded dataset is sufficient for identifying the changes in forest areas due to anthropogenic activities.\n", + "1. The resolution of the CDS surface albedo 10-daily gridded dataset is sufficient for identifying the changes in forest areas due to anthropogenic activities.\n", "2. Comparing the plots from the NOAA dataset for 1990–1991 and the Proba dataset for 2018–2019 with the extracted plots from GEE for the same region and date shows that the Proba plots align closely with the GEE plot. This suggests that the resolution of the recent Proba satellite can represent data more accurately.\n", "3. It is important to note that the albedo dataset is cloud-free (Copernicus PUG, 2021), ensuring the results remain unaffected by cloud contamination.\n", - "4. Cruz et al. (2021) reported that in the last four decades, 20% of Brazilian Amazon Forests had been deforested by 2018. These findings align with those of Brandão et al. (2022) which state that entire Amazonian forest region experienced 17% deforestation during 1995-2017. Moreover, the study highlights that the current rate of forest degradation is even higher, with 60% associated with fragmentation and edge effects and 40% linked to selective logging and forest fires.\n", + "4. Cruz et al. (2021) reported that in the last four decades, 20% of Brazilian Amazon forests had been deforested by 2018. These findings align with those of Brandão et al. (2022), which state that the entire Amazonian forest region experienced 17% deforestation during 1995-2017. Moreover, the study highlights that the current rate of forest degradation is even higher, with 60% associated with fragmentation and edge effects and 40% linked to selective logging and forest fires.\n", "5. This study shows that CDS surface albedo can be used for quantifying changes in forest area." ] },