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NICFI Satellite Data Program

This area is for the users of the Program to ask questions and share your knowledge within the community

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67 Topics

idilgumusCommunity Manager 🌎

posted in NICFI Satellite Data Program

Monitoring of protected areas: Central African Republic and Mozambique

African Parks is an NGO that helps in the rehabilitation and long-term management of national parks in partnership with governments and local communities. They manage national parks and protected areas in 12 countries, including Angola, Benin, the Central African Republic, Chad, the Democratic Republic of Congo, Malawi, Mozambique, the Republic of Congo, Rwanda, South Sudan, Zambia and Zimbabwe. You can check out the organization’s website. In the NICFI Survey carried out in November 2022, they noted they use NICFI Basemaps in GEE to monitor the protected area landscapes they manage in the Central African Republic and Mozambique. More specifically, NICFI basemaps are central to developing a detailed map of the Chinko landscape in the Central African Republic in GEE by combining them with Sentinel-2 data. This data fusion enhanced the resulting vegetation map allowing them to better distinguish between wet and dry forests, woodlands and wet and dry grasslands.

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

Deforestation Early Warning System in Mexico

CONAFOR, a NICFI level 2 user, uses NICFI Basemaps through QGIS and GEE. They adjusted their workflow so that calibration processes of change detection are performed in PS images. Additionally, they evaluate deforestation alerts for monitoring specific change processes such as settlements and illegal airstrips. Another use of individual Planet imagery is to conduct tests to understand possible underestimates of forest cover loss due to the spatial resolution of Sentinel 2 imagery. For this purpose, they have run change detection algorithms in different images to check the best performance. Finally, they mentioned they have also consumed planet images through the Google Earth Engine tool to generate exploratory change analysis.Here you can see one of their Early Warning Reports on Deforestation. In this one, they focus on Montes Azules and Calakmul.If you like to know more about their work, please follow this link.Taken from CONAFOR - General Partner Reporting to NICFI, November 2022

idilgumusCommunity Manager 🌎

posted in NICFI Satellite Data Program

Analyzing Deforestation in Brazil through Planet-NICFI Basemaps

This week, we’re going to Brazil! Since 2019, deforestation in Brazil has reached record levels. Even only in 2021, more than 13,000 sq km of the Brazilian Amazon were cleared. This was the highest total in 15 years. According to projections, total deforestation will reach almost 15,000 sq km by 2022.InfoAmazonia and PlenaMata examined Planet-NICFI basemaps from 2018 to 2022 and focused on critical areas that helped illustrate how the previous government had a destructive effect on the Amazon.You can check out this link for more information and see how NICFI data is used to detect deforestation in the Brazilian Amazon.

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

Vegetation loss detection - Earth Day Month

Next, for Earth Day this month , we will go to Ethiopia, where a NICFI user is using data to pursue NICFI Strategic Objectives 3 "Effective international incentive structures to reduce deforestation in tropical forest countries" and 4. "Increased transparency in land management, land use, value chains and finance". The Consultative Group on International Agricultural Research (CGIAR) reported on their work in the November 2022 survey. With NICFI program data products, including Planet Scope mosaics and Planet Daily images, they conduct visual validation of deforestation alerts, land use/land cover analysis and report on potential drivers of deforestation (e.g., agricultural, illegal logging, mining or natural causes) in Ethiopia.They stream and use the data in Google Earth Engine, QGIS plugin, Collect Earth Online, and Global Forest Change to carry out this.In their response, they mentioned, "Our institute appreciates the continued availability of these images and plans to support nati

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

Mangrove ecosystem assessment - Earth Day Month

For this month's earth day we will report on user stories from around the world and how they use NICFI maps in their workflow.In this first story, we’re going to Indonesia, where Astraea in collaboration with The Nature Conservancy are developing pond and mangrove analyses. They are studying mangrove distribution and canopy cover under the Mangrove Ecosystem Restoration Alliance (MERA) program and other programs that require analysis of this critical ecosystem.Being part of user level 2, the experts explain that they use single images (for small areas) and create mosaics themselves if they need a large area containing a lot of scene data. However, for the use of base maps, these are downloaded for quick validation and evaluation of the study area.If you like to know more about their work, please follow this link Taken from Indonesia Oceans Program team - Astraea - General Partner Reporting November 2022 to NICFI.

Luisa TeixeiraPlaneteer 🌎

posted in NICFI Satellite Data Program

NICFI Satellite Data Program 4th year extension confirmed!

idilgumusCommunity Manager 🌎

posted in NICFI Satellite Data Program

NICFI Satellite Data Program - 2022 Q4 Update

You can read the NICFI Satellite Data Program Quarterly Reports here. Go to the page and scroll down to see all available reports! 😊

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

MAAP Project & Deforestation in mining corridor of Peruvian Amazon

The Monitoring of the Andean Amazon Project (MAAP), run by Amazon Conservation Association, was launched in 2015. The project delivers actionable data from multiple satellite sources for local governments and people to detect deforestation. It currently covers 83% of the Amazon in Peru, Brazil, Colombia, Ecuador and Bolivia. This week’s user story is about deforestation in the southern Peruvian Amazon, where gold mining is one of the critical reasons for deforestation in the region. The last status of deforestation in the Mining Corridor of Madre de Dios was highlighted in the MAAP article published in December 2022. As agriculture is another reason for deforestation in the area, the researchers distinguished mining deforestation. Using NICFI-Planet monthly mosaics, they detect total deforestation of 16,000 hectares in the Mining Corridor over the past two years (2021 - 2022). Besides, the area of direct mining deforestation is 11,2000 hectares. Click here to check out the report and

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

Forest Assessment in Guatemala using NICFI Data

Guatemala's National Forest Institute (INAB) uses Planet NICFI data to complement its forest assessment and offer Forest Incentives. This system reinforces the National Forestry Incentives System that has existed for over 20 years.Their activities include the use of NICFI Basemaps in GEE for mapping forest cover of Pinabet (Abies guatemalensis) coniferous and broadleaf species in Western Guatemala for the year 2020 and to map the dry forest in Guatemala in 2020 and analyze the areas of change (losses and gains) in 8 municipalities for the period 2018-2020-2022. You can have a look at their results at the following link.Additionally, they use Planet images to monitor hotspots in Guatemalan territory. This analysis is carried out to have a quantity of burned area during the reports of fires attended by INAB.If you like to know more about their work, please follow these links (1 & 2).

idilgumusCommunity Manager 🌎

posted in NICFI Satellite Data Program

Online Course: Forest Land Monitoring for Climate Action - SEPAL

If you are interested in learning digital tools for more effective forest and land monitoring, FAO organizes an online course to provide knowledge and skills for application of high resolution satellite imagery in tropical forest countries. The main focuses will be the SEPAL platform, its functions and applications as well as processes and systems for forest and land monitoring. The course will be simultaneously delivered in English, French and Spanish. Click here to register the course.

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

Mapping Tree Species Alpha Diversity in an Ecuadorian Seasonally Dry Forest

A recent study conducted in a natural reserve in the Tumbes-Chocó-Magdalena biodiversity hotspot in Ecuador has highlighted the importance of using satellites to estimate tropical forest diversity. In the study called “Ensemble Machine Learning for Mapping Tree Species Alpha-Diversity Using Multi-Source Satellite Data in an Ecuadorian Seasonally Dry Forest”, researchers used LiDAR models of the forest canopy from the GEDI mission, combined with RapidEye, Sentinel 2 images, topographic models and field data (tree species, stem diameter and height).This study informs the relationship between SDTF tree diversity and remotely sensed data in southwestern Ecuador using mixed sensor types and ML. It offers opportunities for replication in other regions with similar conditions.These initiatives support informed decision making on forest management in the tropics. We think this is a relevant example for NICFI users that might be applicable for their research. Check out this link to read the ful

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

NICFI Basemaps streamed in Felt platform

We are pleased to announce that NICFI Basemaps are included in the Felt catalog.Felt is a collaborative mapping application that serves a wide range of use cases. Recently, NICFI Basemaps has been included in their portal, and through their interface, users can select NICFI Basemaps, deploy as a custom map background and get ready to work.We aim that this integration can be helpful for forests' sustainability worldwide.Here, you can read more about NICFI in FeltYou can check and sign in at Felt here.

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

Illegal gold mining in national park in Ecuador

Amazon Conservation's January 8 post focused on the problems associated with mining activity in the southeastern part of the Ecuadorian Amazon. This report develops an analysis of the Podocarpus National Park, located between the Amazon and Andean zones and holds extraordinary biodiversity and endemism. Amazon Conservation uses NICFI Basemaps to map and highlight illegal gold mining activities that threaten this diversity. They identified 22 sites where mining activity was detected from 2021 to 2022, providing evidence that such activity continues to increase every year. In addition, this organization publishes reports on various cases of deforestation and illegal mining in the Amazon. If you are interested in reading this or more reports, follow this link.

idilgumusCommunity Manager 🌎

posted in NICFI Satellite Data Program

The Mapscaping Podcast - Reduce and Reverse Tropical Forest Loss With NICFI

Featured on this show is Tara O’Shea, the Senior Director of Forest and Land Use at Planet. Tara shares how Planet and other partners have come together under NICFI’s (Norway’s International Climate and Forest Initiative) satellite data project to make high resolution satellite data available for tropical forest monitoring systems and researchers across the world.Click here to listen to the show!

Regen Sinaga‎‎ 🌱

posted in NICFI Satellite Data Program

selamatkan hutan indonesia

saya tinggal di kawasan hutan dan sangat peduli dengan hutan

idilgumusCommunity Manager 🌎

posted in NICFI Satellite Data Program

Using deep learning to track deforestation in India

Being one of the countries with the most forest area, India has lost 80% of forest land due to rapid economic development and overuse of local resources. Aiming to help India’s government and industries and protect the existing resources, scientists developed a deep learning system that produces real-time monthly land use and land cover maps for India’s forests through satellite imagery data. This research was presented at the American Geophysical Union Fall Meeting 2022. The researchers trained the land use monitoring system through Planetscope images provided by NICFI Satellite Data Program. Then, they combined NICFI data with a global land cover map created by Tshinghua University. Their deep learning model could provide ten basemaps of the area from January to October 2022. With the help of these maps, they could find out the seasonal changes and the impacts of monsoons on cropland. Therefore, it is highlighted that these would help scientists understand how climate change impacts

idilgumusCommunity Manager 🌎

posted in NICFI Satellite Data Program

How much forest was lost in 2021?

Each year, World Resources Institute publishes ‘Forest Pulse’ to cover forest loss worldwide and carry out extensive research on the topic. Through NICFI Data available on Global Forest Watch, this year’s report gives essential insights into how much/where forests were lost in 2021. Key Findings from Forest Pulse Forest loss remained high in 2021 Indonesia reduced primary forest loss for the fifth year New deforestation frontiers emerged in the Brazilian Amazon Due to large-scale architecture and fires, primary forest loss in Bolivia hit a record high. Congo Basin Forests experienced primary deforestation as a result of agriculture, energy demands, and logging Climate change has destroyed the northern forests For more details, click to read the report.

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

Mapping land cover types in Tanzania with NICFI basemaps

The need for high-resolution data in African savanna landscapes can complicate mapping land cover types. The NICFI Satellite Data Program provides free imagery to help users map these regions in detail.Recent publications highlight the benefits of using high-resolution satellite imagery and machine learning algorithms as powerful tools for mapping land cover types in data-sparse landscapes. The research titled “A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes” uses the NICFI Basemaps and Sentinel 1 images to create land cover maps. By analyzing the spectral characteristics of the vegetation and using machine learning algorithms, they improved land cover maps over sparse landscapes, such as those found in Tanzania. The resulting land cover map can provide valuable information on numerous ecological applications, including tracking agricultural activities, deforestation and the sustainability of protected regions. Click he

Luisa TeixeiraPlaneteer 🌎

posted in NICFI Satellite Data Program

Reforestation using Planet-NICFI - have you tried it?

Some users in the community have been experimenting with multiple options to use technology and data to monitor reforestation activities, and even running hackathon-type challenges on this topic! Below are two examples that included the Planet-NICFI basemaps - check them out! I would love to hear your thoughts on these ideas!Omdena's Monitoring Reforestation Success using Machine LearningFruitPunch AI's Can AI track reforestation projects using drone and satellite data?

idilgumusCommunity Manager 🌎

posted in NICFI Satellite Data Program

Monitoring illegal mining activities in Colombia

Colombian Mining Monitoring (CoMiMo) aims to detect illegal mining using satellite data and machine learning. To do this, they created a geospatial tool to observe illicit mining activities in Colombia. CoMiMo uses Planet-NICFI base maps publicly available through the NICFI Program as Level 0 Users. The default imagery in the app is Planet NICFI Basemaps, and the predictions are generated with this imagery. The mining sites were detected based on the paper titled “The response of illegal mining to revealing its existence”. In this research, Santiago Saadevra aims to see the impacts of sharing location data of illegal activity with government officials in Colombia. The researcher created a novel dataset using machine learning predictions on satellite imagery. Then, benefiting from three different satellite sources, Saadevra processed thousands of images with and without mine in Google Earth Engine. One of the sources used is Planet Data, provided by NICFI Satellite Data Program. Afterwa

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

Tracking illegal mining with NICFI Satellite Data

RAMI, Radar Imaging Satellite Mining Monitoring in Spanish, is a geospatial technology tool developed to monitor illegal gold mining in the Peruvian Amazon.Planet-NICFI base maps are publicly available through Program Level 0 in RAMI (https://rami.servirglobal.net/), which serves users who want to "track illegal gold mining associated with forest conversion" in Madre de Dios in Peru.The tool provides mining alerts with a 15-day frequency and uses Sentinel-1 radar imagery in the Google Earth Engine database. In addition, the platform relies on monthly basemaps available from NICFI to interpret and validate the alerts. The implementation of RAMI since June 2021 has reinforced the Peruvian government's objective to fight against the loss of forest cover due to illegal gold mining. This activity causes deforestation of the Peruvian Amazon, loss of ecosystems and contamination of local water sources due to toxic runoff from the mercury used to extract gold.Recent satellite monitoring by the

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

NICFI's contribution to real-time deforestation monitoring report

AidEnvironment creates Real Time Deforestation Monitoring Reports to fight production-related deforestation and support civil society. Their August report highlighted seven case studies in Brazil with a continuing deforestation case from Mato Grosso, using NICFI Data. These cases contain the current deforestation activities regarding soy and cattle production in a total of 17,172 hectares of logging of native vegetation and 560 fire alerts in the Amazon and Cerrado biomes.Their methodology uses satellite imagery to analyze deforestation and fire alerts for each case study. Then, AidEnvironment analyzed the cases through their database and additional data from different sources. In the final phase, after the approval of a local partner, they generated a qualitative analysis through public data. In the following image, you can see an example of one case study AidEnvironment carried out. It shows a cleared area of 666 hectares in the Amazon biome inside a declared Legal Reserve and APP (P

idilgumusCommunity Manager 🌎

posted in NICFI Satellite Data Program

Modelling Above Ground Biomass (AGB) in Tanzania

Researchers from the University of Tanzania worked on forest biomass estimation in the tropical forest of Tanzania. They investigated the performance of Sentinel 2 and Planet Scope data in this domain, looking to develop cost-effective methods for AGB. Their findings highlight that both data improved the precisions of AGB estimates by about 20% and 10%, respectively, compared to field-based measurement. They also mentioned that few studies have reported on the ability to estimate and map AGB in tropical forests, despite the free availability of Sentinel-2 and Planet Scope data. And they stressed the importance of knowing the performance of free available satellite data, as it sets a baseline for developing a robust method for estimating AGB at different spatial scales in dense tropical forests. Click here to check out their research!

idilgumusCommunity Manager 🌎

posted in NICFI Satellite Data Program

Mapping tree cover of Africa using NICFI Data!

This week's user story is about a research titled “More than one-quarter of Africa's tree cover found outside areas previously classified as forest”, focusing on mapping the tree cover of continental Africa. It is addressed that the current monitoring systems tend to neglect the trees outside of forests, and/or consistent monitoring can be over-costly. Therefore, by developing a method to reach accurate results in analyzing tree cover in Africa, they aim to help reconsider the effects of land use and construct a new ground for climate change solutions and tree-related studies. To conduct their research, they benefited from 3-m resolution satellite imagery provided by PlanetScope through the NICFI Satellite Data Program. They mapped tree cover of forest and non-forest areas in continental Africa. One of the remarkable results they got is that 29% of tree cover found outside areas (like croplands and grassland) had been identified as tree cover before. In the article, they emphasized

andrea.cardenasPlaneteer 🌎

posted in NICFI Satellite Data Program

NICFI Basemaps to detect deforestation in the Rawa Singkil Wildlife Sanctuary

Deforestation in the Rawa Singkil Wildlife Sanctuary conservation area has increased yearly since 2019. From monitoring results using satellite data and supported by Glad Alert-GFW alert data, HaKa researchers found that the Rawa Singkil SM area had undergone a relatively significant shift from forest to non-forest this year. Lukmanul Hakim, director of HAKA's Geographic Information System, mentioned that deforestation in the first seven months of 2022 is already more significant than the total amount in the last three years. The specialist said that the NICFI Basemaps help detects the monthly deforestation in the Leuser Ecosystem in Aceh. According to their findings, the Wildlife Sanctuary lost 338 hectares of forest in 2021 (165 hectares), 2020 (43 hectares) and 2019 (28 hectares). The specialist also mentioned that this incident is not uncommon and should be monitored. HaKa hold a press conference to involve local authorities in the search for a better response to these deforestatio

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