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The report finds that the 2020 target of restoring 150 million hectares of forest was not met, with only 18% achieved by 2019. It highlights the difficulty of monitoring restoration progress due to the limitations of satellite data and notes that in regions like Central America, gross tree cover gains have been offset by higher rates of loss. The document argues that achieving the 2030 goal requires transforming the enabling environment through quantified targets, strengthened policy and finance, and more consistent monitoring frameworks.

The report identifies five key Water-Smart Agriculture (WSA) innovation clusters in South Africa: irrigation systems, smart farming, undercover farming, sustainable practices, and drought-tolerant crops. While commercial farms have adopted many of these technologies due to economies of scale, adoption remains low among smallholder and emerging farmers. The analysis estimates significant market sizes for high-tech greenhouses (R11.78 billion) and no-till machinery (R4.48 billion), while identifying remote sensing services as a high-growth area. Major barriers include high upfront costs, limited technical skills, and an unfriendly regulatory environment. The report recommends developing innovative financing models, increasing farmer awareness, and strengthening government support through tax rebates and policy integration.

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.

CoastalDEM v2.1 is a high-resolution global digital elevation model (DEM) designed to improve the accuracy of coastal flood and sea level rise assessments. By employing a convolutional neural network (CNN) trained on NASA's ICESat-2 satellite lidar data and using NASADEM as a base, it significantly reduces the positive vertical bias common in satellite radar DEMs, particularly in densely populated urban areas where buildings often distort elevation readings. Validation against ICESat-2 and airborne lidar data from the US and Australia indicates that CoastalDEM v2.1 outperforms other leading global models like TanDEM-X and MERIT, especially in the critical elevation band below 5 meters.

The ARIES for SEEA Explorer is an AI-powered, open-source tool that enables rapid, standardized, and customizable natural capital accounting globally. By utilizing machine reasoning and a semantic web of data, it allows National Statistical Offices (NSOs) and other users to generate ecosystem accounts for any terrestrial area, reducing technical barriers for data-scarce countries while allowing for local customization. The tool supports monitoring for the SDGs, the Paris Climate Agreement, and the post-2020 Global Biodiversity Framework.

The study evaluates seven LULC products—CORINE, S2GLC, LUCAS, a LUCAS-based Landsat map, SIOSE, SIGPAC, and a custom Landsat/CORINE map—for the El Mijares watershed. It finds that no single product provides all necessary LULC details, with raster maps showing only 45.5% overall spatial consistency. While CORINE offers the longest time-series, the authors suggest that extending a Landsat/CORINE approach to the full Landsat series is the most suitable for long-term watershed analysis.

Methane is a potent warming agent and health hazard that leaks frequently from oil and gas systems, coal mines, landfills, and livestock. RMI advocates for the use of remote sensing and the MiQ voluntary standard to create a market for low-methane gas and eventually establish mandatory standards to achieve a 1.5-degree future.

ClientEarth urges the European Commission to prioritize the preservation of forests over their economic exploitation in the new EU Forest Strategy. The organization advocates for the strict protection of primary and old-growth forests, the integration of the Strategy with existing anti-illegal logging frameworks like the EUTR and FLEGT, and the complete exclusion of forest biomass from the definition of renewable energy. It further emphasizes the need for the legal recognition of Indigenous Peoples' and local communities' tenure rights, the use of remote-sensing data for monitoring, and the inclusion of binding forest protection criteria in EU trade agreements.

The Stockholm Environment Institute (SEI) developed a prioritization framework using remote sensing and watershed mapping to assess the impact of wildfires on water resources in the Chiquitania region of Bolivia. This tool aims to guide policymakers in using the watershed as the primary unit for land and water management, filling a gap in existing restoration plans that overlook hydrological issues.

The project focuses on the Katari watershed in Bolivia, where high-altitude wetlands known as "bofedales" are critical for regulating water balance and supplying drinking water to La Paz and El Alto. These ecosystems are currently deteriorating due to climate change, glacier retreat, rapid urbanization, overgrazing, and mining-related groundwater extraction. To address this, the Stockholm Environment Institute (SEI) is using multi-temporal remote sensing data from 1984-2020 and the WEAP modelling platform to establish eco-hydrological baselines and evaluate potential conflicts between urban water demands and the preservation of these wetlands.

The report provides a detailed 'radiography' of the implementation of the Brazilian Forest Code in 2021. While CAR registration is advanced nationwide, the analysis and validation of these registries remain a critical bottleneck. Only a few states, such as Espírito Santo, have achieved high validation rates. The transition to the final stage—the Environmental Regularization Program (PRA)—is slow due to low producer interest and a lack of legal frameworks in several states. The report highlights the introduction of 'dynamic analysis' by the Brazilian Forest Service (SFB) as a potential accelerator and identifies significant legal uncertainties, particularly regarding the Atlantic Forest and the application of Article 68 of the Forest Code.

The proposal addresses the lack of systematic, accurate, and coordinated climate data in Angola, which hinders the implementation of the National Climate Change Strategy 2018-2030. It focuses on two primary technical tracks: establishing an Early Warning Information System (EWIS) for agricultural drought using satellite tools like ASIS and AGROMETSHELL, and developing a National Strategy for Forest Resources Monitoring (2022-2026) aligned with FAO's Voluntary Guidelines on National Forest Monitoring. The project aims to train government officials from institutions such as INAMET and MCTA, conduct pre-feasibility studies on fire management and community land governance, and develop a validated Project Concept Note for the GCF focused on forest resource management. The 24-month initiative is implemented by the FAO to improve evidence-based decision-making and resource mobilization for climate adaptation and mitigation in the AFOLU sector.

The 2020 Goal 1 assessment concludes that the world is failing to halve natural forest loss and associated greenhouse gas emissions by 2020 and is not on track to stop them by 2030. Using data from Global Forest Watch and the FAO, the report finds that global annual gross tree cover loss has increased by 40% since the NYDF was signed in 2014 compared to the 2001-2013 baseline. Humid tropical primary forest loss has increased by 41% on average since the baseline period. While net natural forest loss decreased slightly from 10.4 million hectares per year (2000-2010) to 7.8 million hectares per year (2010-2020), this is insufficient to meet targets. Tropical Africa is identified as an emerging frontier of forest loss, while Latin America remains the region with the highest absolute area of primary forest loss. Greenhouse gas emissions from deforestation and primary forest loss are also moving away from 2030 targets, with primary forest emissions 45% higher since the NYDF signing than before.

The report outlines the critical role of geospatial least-cost modelling in achieving universal energy access, while highlighting significant data gaps in demand-side considerations, grid infrastructure, and clean cooking patterns. It argues for a shift from static to dynamic data inputs and suggests that integrating electrification and clean cooking planning can double the viability of electric cookstoves. The document provides frameworks for key data inputs and proposes cost-effective methods for filling gaps, such as AI-driven remote sensing and cell phone-based surveys.

The policy brief examines how 4IR technologies—specifically biotechnology, precision agriculture, and controlled-environment agriculture—can enhance water-smart farming in Southern Africa. It highlights the potential of CRISPR for drought-resistant crops, the use of remote sensing and AI for small-scale farmer decision-making, and the promise of vertical farming to bypass climatic limitations, while noting challenges related to energy efficiency and regulatory frameworks.

The report highlights a critical gap in Brazil's environmental monitoring: while primary forest loss is tracked via PRODES and DETER, secondary vegetation (regrowth in deforested areas) remains 'invisible' to official systems. This lack of data hinders the ability to verify reforestation goals and enforce the Forest Code. The authors argue that monitoring is technologically feasible and cost-effective, estimating a price tag of around US $500 thousand for implementation within a year. They recommend establishing clear classification criteria, developing complementary short-term (alert-based) and long-term (trend-based) systems, utilizing existing LANDSAT/OLI and CBERS/WFI satellite imagery, and implementing a dedicated communication strategy for policymakers.

The report highlights that while Brazil has successfully monitored primary forest loss, secondary vegetation (regeneration) remains 'invisible' to official systems like PRODES and DETER. It argues that monitoring this vegetation is technologically feasible and essential for meeting international reforestation goals and enforcing the Forest Code. The authors propose a dual-system approach—one for long-term measurement and one for short-term alerts—utilizing existing satellite imagery and an estimated annual budget of US$500,000.

The report highlights a transition toward sustainable agriculture in South Africa, driven by climate change, water scarcity, and rising input costs. Key investment areas include undercover farming, renewable energy, conservation agriculture, precision agriculture, and urban agriculture. It emphasizes the Western Cape as a strategic hub for greentech due to its high-value export crop production and supportive government environment.

The report provides a comprehensive 'radiography' of how Brazilian states are implementing the Forest Code. It identifies a significant gap between the high rates of CAR registration and the slow progress of CAR validation and PRA implementation. While some states in the North and Center-West regions are advanced, the Northeast region lags behind. The document highlights systemic barriers, including a lack of technical resources, poor quality of self-declared data, and a heavy dependence on the federal government's SICAR system. It also examines state-specific rules for restoring Permanent Preservation Areas (APP) and Legal Reserves (RL), noting wide variations in restoration deadlines and methodologies.

The project aims to build climate resilience in Ghana's agriculture sector by establishing a national framework for drought management, enhancing technical capacities for climate observation and modelling, and improving the delivery of decision-support services to vulnerable farming communities. It targets 2.7 million direct beneficiaries and seeks to address critical gaps in institutional coordination and technical forecasting.