{"query_echo":{"q":"","filters":{"analysis_type":["remote sensing analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'remote sensing analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":5,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=remote+sensing+analysis","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"iai-000166","url":"https://climateinsightsdirectory.org/document/iai-000166","title":"Caracterización del uso/cobertura del suelo en Uruguay a partir de series temporales de imágenes MODIS","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"es","date_published":"2025-01-17","source_url":"https://iai.int/es/pub_acad/caracterizacion-del-uso-cobertura-del-suelo-en-uruguay-a-partir-de-series-temporales-de-imagenes-modis/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research developed a land cover map for Uruguay covering 17 million hectares with an overall accuracy of 89.6%. The classification identified four main categories: perennial forage resources (63.6%), forestry and woodland (13.1%), summer crops (14.3%), and double cropping (7.4%). The findings highlight a significant decrease in perennial forage resources in recent years, primarily driven by the expansion of the agricultural frontier.","ai_generated":true,"unit":"iai-000166#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The study classified 17 million hectares into four primary categories: Perennial Forage Resources (63.6%), Forestry and Woodland (13.1%), Summer Crops (14.3%), and Double Cropping (7.4%).","ai_generated":true,"unit":"iai-000166#insight-1","date_modified":"2026-10-23"},{"text":"The resulting land cover map achieved a high global accuracy of 89.6%, with the 'Summer Crops' class showing the lowest accuracy at 85.8%.","ai_generated":true,"unit":"iai-000166#insight-2","date_modified":"2026-10-23"},{"text":"Analysis indicates a substantial reduction in perennial forage resources in recent years, largely caused by the expansion of the agricultural frontier.","ai_generated":true,"unit":"iai-000166#insight-3","date_modified":"2026-10-23"}],"climate_tags":["remote sensing","forestry"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["remote sensing analysis","land cover mapping"]},{"id":"iai-000016","url":"https://climateinsightsdirectory.org/document/iai-000016","title":"Mapping tropical dry forest succession using multiple criteria spectral mixture analysis","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"en","date_published":"2025-01-15","source_url":"https://iai.int/es/pub_acad/mapping-tropical-dry-forest-succession-using-multiple-criteria-spectral-mixture-analysis/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study introduces the MCSMA method to improve the mapping of tropical dry forest succession stages by utilizing spectral and spatial information and an evaluation framework based on RMSE, spatial distance, and fraction consistency. Tested in Costa Rica's Santa Rosa National Park, the method outperformed the MESMA approach in reducing error across early, intermediate, and late successional stages.","ai_generated":true,"unit":"iai-000016#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The proposed multiple criteria spectral mixture analysis (MCSMA) method demonstrated superior performance compared to multiple endmember spectral mixture analysis (MESMA) across early, intermediate, and late successional stages, showing lower root mean square error, mean absolute error, and systematic error.","ai_generated":true,"unit":"iai-000016#insight-1","date_modified":"2026-10-23"},{"text":"Shortwave infrared (SWIR) data is significant for distinguishing between different successional stages of tropical dry forests, which exhibit high spectral variability due to differences in biomass.","ai_generated":true,"unit":"iai-000016#insight-2","date_modified":"2026-10-23"},{"text":"The MCSMA method utilizes an evaluation framework consisting of three criteria—root mean square error (RMSE), spatial distance (SD), and fraction consistency (FC)—to select the best-fit endmember model.","ai_generated":true,"unit":"iai-000016#insight-3","date_modified":"2026-10-23"}],"climate_tags":["remote sensing","forest conservation"],"geography_discussed":["Americas"],"frame_perspective":[],"analysis_type":["methodological evaluation","remote sensing analysis"]},{"id":"clipolin-000830","url":"https://climateinsightsdirectory.org/document/clipolin-000830","title":"The Impact of Brazil's ABC Program Credit on Pasture Recovery: Evidence from the Cerrado","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/08/Report-The-Impact-of-Brazils-ABC-Program-Credit-on-Pasture-Recovery.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study finds that the ABC Recuperação credit line has had modest effects on pasture recovery in the Cerrado, with most severely degraded areas remaining unchanged. While some pasture was converted to crops, the program's contribution to the ABC Plan's 2020 target of recovering 15 million hectares of degraded pasture was estimated at only 0.9% to 2.5%. The report highlights that technical assistance is a critical factor for success and recommends improved monitoring and the integration of credit with risk management instruments.","ai_generated":true,"unit":"clipolin-000830#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The overall impact of ABC Recuperação credit on pasture recovery is modest, with three-quarters of the financed polygon areas remaining unchanged four years after receiving credit.","ai_generated":true,"unit":"clipolin-000830#insight-1","date_modified":"2026-10-23"},{"text":"Credit provision did not significantly improve the most severely degraded pastures, which are classified as low quality.","ai_generated":true,"unit":"clipolin-000830#insight-2","date_modified":"2026-10-23"},{"text":"The credit line is associated with a small reduction in total pasture area, primarily through the conversion of medium and high-quality pastures into crops or crop-cattle mosaics.","ai_generated":true,"unit":"clipolin-000830#insight-3","date_modified":"2026-10-23"},{"text":"Technical assistance is a decisive factor for effectiveness; polygons with technical assistance saw a 6 percentage point reduction in degraded pasture area after four years, whereas those without it saw virtually no change.","ai_generated":true,"unit":"clipolin-000830#insight-4","date_modified":"2026-10-23"},{"text":"Evidence shows that areas declared for pasture recovery often experienced deforestation in the six years prior to receiving credit, though this trend slowed after the credit was issued.","ai_generated":true,"unit":"clipolin-000830#insight-5","date_modified":"2026-10-23"},{"text":"The ABC Recuperação credit's contribution to the ABC Plan's target of recovering 15 million hectares of degraded pasture by 2020 was estimated at between 0.9% and 2.5%.","ai_generated":true,"unit":"clipolin-000830#insight-6","date_modified":"2026-10-23"},{"text":"The effectiveness of the credit varies by soil type, with more significant impacts on recovery and conversion observed in areas where Plinthosols predominate, particularly in Mato Grosso, Tocantins, and Maranhão.","ai_generated":true,"unit":"clipolin-000830#insight-7","date_modified":"2026-10-23"},{"text":"A significant portion of the areas declared for credit did not actually consist of pasture at the time the credit was issued.","ai_generated":true,"unit":"clipolin-000830#insight-8","date_modified":"2026-10-23"}],"climate_tags":["land-use change","deforestation","greenhouse gas emissions"],"geography_discussed":["Mato Grosso","Q43695","Maranhão","Amazon rainforest","Atlantic Forest"],"frame_perspective":[],"analysis_type":["policy evaluation","econometric analysis","remote sensing analysis"]},{"id":"sei-001137","url":"https://climateinsightsdirectory.org/document/sei-001137","title":"Hydro-ecological monitoring of high-elevation wetlands in the Katari watershed, Bolivia","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2021-10","source_url":"https://www.sei.org/wp-content/uploads/2021/10/211027c-burton-fernandez-katari-wetlands-2109g.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document describes the use of a WEAP model and a 36-year remote sensing dataset (1984–2020) to analyze bofedales wetlands in Bolivia's Katari watershed. It identifies that while glacier retreat in the Cordillera Real is evident, bofedales currently show a greening trend potentially due to increased meltwater and higher temperatures, though long-term decline is expected as aquifer recharge drops. The study also notes that human activities, including overgrazing and mining-related groundwater extraction, are deteriorating wetland health.","ai_generated":true,"unit":"sei-001137#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Bofedales wetlands in Bolivia, particularly in the La Paz-El Alto region, are deteriorating due to human pressures including urbanization, overgrazing, dam construction, and groundwater extractions for mining.","ai_generated":true,"unit":"sei-001137#insight-1","date_modified":"2026-10-23"},{"text":"Remote sensing analysis of 222 satellite images from 1984 to 2020 shows that wetlands below 4,200 metres are greener and more productive than those above 4,600 metres, likely due to more constant groundwater outflows and higher temperatures.","ai_generated":true,"unit":"sei-001137#insight-2","date_modified":"2026-10-23"},{"text":"Climate change has caused a dramatic loss of glacier area in the Cordillera Real; however, bofedales currently exhibit a general greening trend, possibly due to increased rainwater and snow melt.","ai_generated":true,"unit":"sei-001137#insight-3","date_modified":"2026-10-23"},{"text":"Despite current greening, climate change is expected to negatively impact the wetlands in the long term as precipitation patterns alter and glacier retreat leads to a decline in aquifer recharge.","ai_generated":true,"unit":"sei-001137#insight-4","date_modified":"2026-10-23"}],"climate_tags":["glacier retreat","groundwater recharge","hydrological model","remote sensing"],"geography_discussed":["La Paz-El Alto","Titicaca","Peru","Cordillera Real","Andes"],"frame_perspective":[],"analysis_type":["remote sensing analysis","hydrological modelling"]},{"id":"iai-002014","url":"https://climateinsightsdirectory.org/document/iai-002014","title":"Plants vs. Streams: Their groundwater-mediated competition at “El Morro”, a developing catchment in the dry plains of Argentina","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"en","date_published":"2020-09-28","source_url":"https://iai.int/wp-content/uploads/2025/01/Plants-vs.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study analyzes the 'El Morro' catchment in Argentina, where the conversion of native forests to agriculture has led to rising water tables and the emergence of new streams. The authors identify five mechanisms of competition: plants taking water from streams via unsaturated uptake (mechanism 1), focalized saturated uptake in wetlands (mechanism 2), and distributed saturated uptake in forests (mechanism 3); and streams taking water from plants through streambed deepening (mechanism 4) and sediment deposition (mechanism 5). Findings indicate that while unsaturated uptake previously suppressed streamflow, current high water tables have made saturated uptake by forests and wetlands significant, though deepening streams are now actively reclaiming water by lowering local water tables.","ai_generated":true,"unit":"iai-002014#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Over the last four decades, the El Morro catchment experienced a significant rise in groundwater levels, with an average increase of 3.06 meters per decade across 27 monitored wells.","ai_generated":true,"unit":"iai-002014#insight-1","date_modified":"2026-10-23"},{"text":"The rise in groundwater levels was most pronounced in the higher belt of the catchment, where levels climbed by an average of 4.83 meters per decade.","ai_generated":true,"unit":"iai-002014#insight-2","date_modified":"2026-10-23"},{"text":"The study identifies five mechanisms of water competition: plants use unsaturated uptake (1), focalized saturated uptake in wetlands/riparian zones (2), and distributed saturated uptake in the landscape matrix (3); conversely, streams use streambed deepening (4) and sediment deposition (5) to capture water.","ai_generated":true,"unit":"iai-002014#insight-3","date_modified":"2026-10-23"},{"text":"Caldén forests (Prosopis caldenia) demonstrate the ability to use groundwater even when water tables are deep (over 7 meters), causing diurnal fluctuations and seasonal depressions in the water table.","ai_generated":true,"unit":"iai-002014#insight-4","date_modified":"2026-10-23"},{"text":"Stream base flow exhibits a clear seasonal pattern, with lower flows during the rainy and warm season (December to April) due to increased groundwater uptake by plants.","ai_generated":true,"unit":"iai-002014#insight-5","date_modified":"2026-10-23"},{"text":"The total specific water yield at the catchment's closure point was estimated at 19 mm/y based on topographic area and 29 mm/y based on geometric area, representing approximately 3.3% of long-term average rainfall inputs.","ai_generated":true,"unit":"iai-002014#insight-6","date_modified":"2026-10-23"},{"text":"Streambed deepening (mechanism 4) has actively reduced plant water access, as evidenced by the drying of a wetland at site B following the carving of new incisions.","ai_generated":true,"unit":"iai-002014#insight-7","date_modified":"2026-10-23"},{"text":"Long-term remote sensing data (2000-2020) shows a decrease in greenness for croplands and sediment deposits, while forests and grasslands/pastures showed an increase in greenness.","ai_generated":true,"unit":"iai-002014#insight-8","date_modified":"2026-10-23"}],"climate_tags":["groundwater recharge","land-use change"],"geography_discussed":["Villa Mercedes","People's Republic of China","Australia","North America","Africa","Hungary"],"frame_perspective":[],"analysis_type":["eco-hydrological analysis","long-term monitoring","remote sensing analysis"]}]}