For nearly a decade, ALOS-2/PALSAR-2 has been monitoring the Amazon basin with a nominal revisit frequency of 42 days, achieving comprehensive coverage using its wide-swath (350 km) dual-polarization (HH+HV) ScanSAR mode. While the Long-Term Amazon Monitoring (LTAM) data archive provides amplitude data only due to processing and storage constraints, the coherent time-series data enables a range of forest applications with exceptional reliability. This paper highlights recent advancements in deforestation detection with the operational JJ-FAST early warning system, a powerful tool for mitigating tropical deforestation. Rigorous evaluation during the 2024 deforestation season confirmed JJ-FAST’s efficacy, with false alarm rates below 20% for deforestation sites larger than 10 hectares, establishing it as a scientifically validated and broadly applicable solution for reducing large-scale biomass loss in the Amazon. Leveraging ALOS-2 time-series forest/non-forest (TS-FNF) maps, we also track annual forest cover changes in the Brazilian Legal Amazon (BLA) offering improved accuracy compared to traditional optical remote sensing methods. Results indicate a net forest loss of approximately 2% in the BLA from 2018 to 2024. Furthermore, we explore the potential of ALOS-2 and ALOS-4 for monitoring forest regrowth, which is considered as one natural climate solution due to its CO2 sequestration capacity. These developments underscore the critical role of L-band SAR in supporting sustainable forest management and climate change mitigation in the Amazon rainforest.