Estimation of biomass has high importance for economic, ecologic and climatic reasons due to the multiple ecosystem services offered by forested landscapes. Measurements that are taken in the field incur personal and economic costs. Nevertheless, biomass surveying based on remote sensing techniques offer efficiency thanks to covering large areas. The European Space Agency (ESA) Sentinel-1 satellite offers promising capabilities for above-ground biomass (AGB) estimation through synthetic aperture radar (SAR) based microwave remote sensing. In this study, experimental AGB estimations based on Sentinel-1 C-band data were produced over the Remingstorp estate (Västergötland County, Sweden) to analyze its performance over boreal productive forests. The obtained measurements were compared against reference values obtained by combining photogrammetric, aerial laser scanning (ALS) and field measurements. Thus, a reference high-resolution canopy height model (CHM) was produced from the difference between photogrammetric digital surface model (DSM) values and ALS digital terrain model (DTM) values. The comparison of CHM observations against diameter at breast height (DBH) field measurements revealed the existence of a vegetation height - vegetation volume relationship for the study species (Pinus Sylvestris and Picea Abbies), which allowed bole volume estimation based on vegetation height values. SAR-based AGB estimates were produced by defining statistical relationships between backscatter intensity and interferometric coherence measurements against reference CHM values. Additionally, evaluation of biomass estimation through interferometric (InSAR) height was possible by comparing against reference photogrammetric DSM. Backscatter signal saturation of C-band at low biomass volumes prevented quantification of biomass but permitted differentiation between forested and non-forested surfaces. Estimation of AGB through interferometric coherence was possible through modeling volumetric decorrelation, which on the contrary prevented biomass retrieval from InSAR height. Due to the given frequency properties at C-band, HV cross-polarized channel was used in all cases for better detection of the canopy layer. Image acquisition under stable conditions was a priority to avoid noise derived from variable dielectric properties, acquisition geometry effects and temporal decorrelation. Hence, image acquisitions under stable hydrometeorological conditions (i. e. stable frozen or dry) and for the lowest repeat-pass interval (i. e. 6-days) were prioritized.

O desmatamento e a fragmentação decorrentes da expansão das atividades humanas nas paisagens florestais tropicais promovem mudanças na estrutura da paisagem, em geral com perda de florestas antigas para a agricultura ou pastagem, parcialmente compensada regionalmente com a regeneração das florestas secundárias jovens. Tal processo gera paisagens heterogêneas, com florestas secundárias em diferentes estádios de sucessão e perturbação. O estoque de carbono nestas florestas pode, assim, variar muito e essa variação pode ocorrer em diferentes escalas espaciais. O presente estudo buscou entender como as diferentes condições locais e da paisagem contribuem para o estoque de carbono. O estudo foi realizado em florestas secundárias da Mata Atlântica, no Sistema Cantareira (região sudeste do Brasil). A biomassa acima do solo (BAS) foi estimada a partir de dados de inventário florestal e modelos alométricos de biomassa. A fim de testar como a biomassa de uma floresta tropical varia em paisagens antropizadas, foram construídos modelos lineares generalizados (GLM, distribuição Gaussiana) com quatro grupos de variáveis: idade da floresta; perturbações humanas; topografia (declividade e altitude); e estrutura da paisagem. Foram construídos modelos simples, compostos, com e sem interação, além do modelo nulo. O modelo mais plausível foi selecionado pelo critério de Akaike corrigido para pequenas amostras (AICc). Numa escala mais local, a variação da BAS em função da distância à borda foi analisada. A BAS variou amplamente entre os locais de estudo e isso foi parcialmente explicado pelas variáveis explanatórias, uma vez que todos os modelos e variáveis selecionadas foram melhores do que os modelos nulos. O resultado mais surpreendente foi o baixo estoque geral de carbono nas áreas de estudo (30,91 ± 11,00 Mg.ha-1). Os resultados sugerem que este padrão está principalmente relacionado com efeitos de borda e com a influência de fatores diretamente impulsionados pela ocupação humana (como, por exemplo, florestas mais perturbadas, paisagens com baixa cobertura florestal e ocorrência relativa alta de florestas mais jovens). Os resultados indicam ainda que nesta condição de alta perturbação os fatores abióticos, tais como a localização topográfica, podem ter uma importância menor do que seria de esperar por estudos anteriores. Os baixos estoques de carbono e alta variabilidade espacial observada indicam a necessidade de se incorporar estimativas de carbono em escalas espaciais mais finas em programas de mitigação climática e de manutenção de serviços ecossistêmicos em paisagens fragmentadas / Deforestation and fragmentation resulting from the expansion of human activities in tropical forest landscapes promote changes in landscape structure, usually with loss of mature forests for agriculture or pasture, partially offset regionally with the regeneration of young secondary forests. This process generates heterogeneous landscapes with secondary forests in different stages of succession and disturbance. The stock of carbon in these forests can thus vary greatly and this variation may occur at different spatial scales. This study aimed to understand how the different local and landscape conditions contribute to carbon stock. The study was performed in secondary Atlantic Forest fragments in Cantareira System (southeastern Brazil). The above-ground biomass (AGB) was estimated by forest inventory data and allometric biomass models. In order to test how the biomass of a tropical forest varies in disturbed landscapes, generalized linear models (GLM, Gaussian distribution) were constructed with four groups of variables: forest age; human disturbances; topography (terrain slope and elevation); and landscape structure. We constructed simple and compound, with and without interaction, models beyond to the null model. The most plausible model was selected by Akaike criterion corrected for small samples (AICc). On a more local scale, the variation of AGB according to the distance to the edge was analyzed. AGB varied widely among study sites and this was partly explained by the explanatory variables, since data suited better to all models and selected variables than the null model. The most surprising result was the low overall carbon stock in the study areas (30.91 ± 11.00 Mg.ha-1). The results suggest that this pattern is mainly related to edge effects and the influence of factors directly driven by human occupation (e.g. more disturbed forests, landscapes with low forest cover and high relative occurrence of younger forests). The results also indicate that this condition of high disturbance abiotic factors, such as the topographical location, may have less importance than would be expected from previous studies. Low carbon stocks and high spatial variability indicate the need to incorporate in carbon stock estimates a finer spatial scale for climate mitigation and maintenance of ecosystem services programs in fragmented landscapes

O desmatamento e a fragmentação decorrentes da expansão das atividades humanas nas paisagens florestais tropicais promovem mudanças na estrutura da paisagem, em geral com perda de florestas antigas para a agricultura ou pastagem, parcialmente compensada regionalmente com a regeneração das florestas secundárias jovens. Tal processo gera paisagens heterogêneas, com florestas secundárias em diferentes estádios de sucessão e perturbação. O estoque de carbono nestas florestas pode, assim, variar muito e essa variação pode ocorrer em diferentes escalas espaciais. O presente estudo buscou entender como as diferentes condições locais e da paisagem contribuem para o estoque de carbono. O estudo foi realizado em florestas secundárias da Mata Atlântica, no Sistema Cantareira (região sudeste do Brasil). A biomassa acima do solo (BAS) foi estimada a partir de dados de inventário florestal e modelos alométricos de biomassa. A fim de testar como a biomassa de uma floresta tropical varia em paisagens antropizadas, foram construídos modelos lineares generalizados (GLM, distribuição Gaussiana) com quatro grupos de variáveis: idade da floresta; perturbações humanas; topografia (declividade e altitude); e estrutura da paisagem. Foram construídos modelos simples, compostos, com e sem interação, além do modelo nulo. O modelo mais plausível foi selecionado pelo critério de Akaike corrigido para pequenas amostras (AICc). Numa escala mais local, a variação da BAS em função da distância à borda foi analisada. A BAS variou amplamente entre os locais de estudo e isso foi parcialmente explicado pelas variáveis explanatórias, uma vez que todos os modelos e variáveis selecionadas foram melhores do que os modelos nulos. O resultado mais surpreendente foi o baixo estoque geral de carbono nas áreas de estudo (30,91 ± 11,00 Mg.ha-1). Os resultados sugerem que este padrão está principalmente relacionado com efeitos de borda e com a influência de fatores diretamente impulsionados pela ocupação humana (como, por exemplo, florestas mais perturbadas, paisagens com baixa cobertura florestal e ocorrência relativa alta de florestas mais jovens). Os resultados indicam ainda que nesta condição de alta perturbação os fatores abióticos, tais como a localização topográfica, podem ter uma importância menor do que seria de esperar por estudos anteriores. Os baixos estoques de carbono e alta variabilidade espacial observada indicam a necessidade de se incorporar estimativas de carbono em escalas espaciais mais finas em programas de mitigação climática e de manutenção de serviços ecossistêmicos em paisagens fragmentadas / Deforestation and fragmentation resulting from the expansion of human activities in tropical forest landscapes promote changes in landscape structure, usually with loss of mature forests for agriculture or pasture, partially offset regionally with the regeneration of young secondary forests. This process generates heterogeneous landscapes with secondary forests in different stages of succession and disturbance. The stock of carbon in these forests can thus vary greatly and this variation may occur at different spatial scales. This study aimed to understand how the different local and landscape conditions contribute to carbon stock. The study was performed in secondary Atlantic Forest fragments in Cantareira System (southeastern Brazil). The above-ground biomass (AGB) was estimated by forest inventory data and allometric biomass models. In order to test how the biomass of a tropical forest varies in disturbed landscapes, generalized linear models (GLM, Gaussian distribution) were constructed with four groups of variables: forest age; human disturbances; topography (terrain slope and elevation); and landscape structure. We constructed simple and compound, with and without interaction, models beyond to the null model. The most plausible model was selected by Akaike criterion corrected for small samples (AICc). On a more local scale, the variation of AGB according to the distance to the edge was analyzed. AGB varied widely among study sites and this was partly explained by the explanatory variables, since data suited better to all models and selected variables than the null model. The most surprising result was the low overall carbon stock in the study areas (30.91 ± 11.00 Mg.ha-1). The results suggest that this pattern is mainly related to edge effects and the influence of factors directly driven by human occupation (e.g. more disturbed forests, landscapes with low forest cover and high relative occurrence of younger forests). The results also indicate that this condition of high disturbance abiotic factors, such as the topographical location, may have less importance than would be expected from previous studies. Low carbon stocks and high spatial variability indicate the need to incorporate in carbon stock estimates a finer spatial scale for climate mitigation and maintenance of ecosystem services programs in fragmented landscapes

The efficient and timely monitoring of forest dynamics is of paramount importance and requires accurate, high-resolution and time-tagged predictions at global scale. Despite numerous methodologies have been proposed in the literature, existing approaches often compromise on accuracy, resolution, temporal fidelity or coverage. To tackle these challenges and limitations, the main objective of this doctoral thesis is the investigation of the potential of artificial intelligence (AI) for the regression of bio-physical forest parameters from spaceborne Earth Observation (EO) data. This work explores for the first time the combined use of TanDEM-X single-pass interferometric products and convolutional neural networks for canopy height estimation at country scale. To achieve this, a novel deep learning framework is proposed, leveraging the capability of deep neural networks to effectively capture the complex spatial relationships between forest properties and satellite data, as well as ensuring the adaptability to different environmental conditions. The design and the understanding of the model is driven by explainable AI principles and by considerations on large-scale forest dynamics, with a great emphasis set on the challenges related to the variable acquisition geometry of the TanDEM-X mission, and by relying on the use of LVIS-derived LiDAR measurements as reference data. Moreover, several investigations are conducted on the adaptability of the developed framework for transferring knowledge to related domains, such as digital terrain model regression and above-ground biomass density estimation. Finally, the capability of the proposed approach to be extended to the use of other EO sensors is also evaluated, with a particular emphasis on the ESA Sentinel-1 and Sentinel-2 missions. The developed deep learning framework sets a solid groundwork for the generation of large-scale products of bio-physical forest parameters from spaceborne EO data. The approach achieves cutting-edge performance, significantly advancing the current state of forest assessment and monitoring technologies.

Wetlands serve important ecosystem functions such as carbon sequestration but are often affected by disturbances like urban development, agriculture, and road building. For wetlands created to mitigate losses, it is important that the ecosystem functions successfully replicate those of natural wetlands. Created wetlands have frequently not provided these functions due to issues including low organic carbon (OC), high soil bulk density (BD), lost topsoil, incorrect hydrology, and failure of targeted vegetation establishment. Organic matter (OM) amendments help created wetlands attain these functions quicker, but, their long-term effects are seldom reported. This research's purpose was to measure the long-term effects of treatments at a sandy tidal freshwater wetland created in 2003 (WWE) and a fine-textured, non-tidal wetland created in 2002 (CCW). We tested OM treatments, topsoil amendment, and microtopography effects on soil and vegetation properties at WWE and OM treatments at CCW. Pedogenic changes in soil morphology, physical and chemical properties were detected by comparing data to previous studies at these sites. At both sites, litter and biomass parameters were measured to estimate total mass C. Herbaceous biomass was measured at WWE. At WWE, no long-term OM treatment effects from 78 or 156 Mg ha-1 were observed. Soils in pits had higher OC, lower BD, and lower chroma than soils on mounds. Sandy and loamy HSFI's developed at WWE within four years, but there were fewer sandy indicators after 12 years. Loamy HSFI's were lost at CCW from 2003 to 2016. Plots at WWE that were amended with topsoil had higher soil mass C than the sandy soil due to a finer texture, but total mass C did not vary. At CCW, long-term OM treatment effects were observed, including lower BD, higher soil mass C, and higher tree mass C with increasing compost rates up to 224 Mg ha-1. Overall, the ideal compost loading rate for constructed wetlands varied with wetland type and mitigation goals. Compost rates of 112 Mg ha-1 are sufficient for short term establishment of wetland vegetation and hydric soil properties, but higher rates near 224 Mg ha-1 may be required for effects that last over 10 years. / Ph. D. / Wetlands are unique habitats that provide environmental benefits such as carbon storage but are often negatively affected by human disturbances such as urban development and road construction. When wetlands are constructed to mitigate natural wetland losses, it is important that they successfully provide the benefits of the wetlands they replace. Created wetlands have frequently not functioned like natural wetlands due to soil issues including low organic carbon (OC) and high soil density (BD). Organic matter (OM) amendments such as composted yard waste help created wetlands attain these functions quickly after construction compared to unamnded wetlands. The purpose of this study was to measure long-term (greater than 10 years) effects of OM treatments on soil and vegetation properties at two different created wetlands. The two wetlands were a sandy tidal freshwater wetland created in 2003 (WWE) and a fine-textured, compacted, non-tidal wetland created in 2002 (CCW). Previous soil data were compared to recent soil samples to detect changes in physical and chemical soil properties over time. At WWE, soils in pits accumulated more OM, were higher in carbon, lower in BD, and had greyer color than soils in mounds. Hydric soil field indicators developed from upland soil within four years after construction at WWE. There were no long term compost effects on soil properties compared to a fertilized control, but the compost rates used were low compared to other recommendations, and the wetland was constructed carefully to avoid compaction. There were much higher rates of compost applied at CCW, which produced lower BD, higher soil mass C, and higher tree biomass. We recommend applying OM and avoiding compaction during wetland construction. Ideal OM loading rate depends on wetland type (soil texture, hydrology) and mitigation goals. In the fine-textured, compacted wetland studied here, compost rates of 112 Mg ha⁻¹ are ideal for short term establishment of wetland vegetation and soil properties, but higher rates near 224 Mg ha⁻¹ may be required for long term effects.

Les forêts tropicales constituent le principal réservoir de biodiversité et de carbone (C). Cependant, la plupart des forêts tropicales, en particulier les forêts de Bornéo en Asie du Sud-Est, subissent une pression intense et sont menacées par des activités anthropiques telles que l'exploitation forestière, l'industrie minière l’agriculture et la conversion en plantations industrielles. En 2010, la superficie des forêts de production de Bornéo était de 26,8 millions d’ha (environ 36% de la superficie totale de l’île, dont 18 millions ha (environ 24%) déjà exploités. Par conséquent, les forêts de production occupent donc une place importante à Bornéo et jouent un rôle essentiel dans la compensation des biens fournis et la maintenance des services écosystémiques, tels que la conservation du C et de la biodiversité.L’exploitation sélective réduit la biomasse aérienne et souterraine par l’élimination de quelques grands arbres, et augmente les stocks de bois mort par des dommages collatéraux. En créant des trouées dans la canopée, le microclimat dans les sous-étages et au sol change localement et accélèrent la décomposition de la litière et de la matière organique. L'importance des dégâts, de l'ouverture de la canopée et de la rapidité du rétablissement du C s'est avéré principalement liée à l'intensité de l'exploitation forestière. Cependant, les évaluations empiriques de l'effet à long terme de l'intensité de l'exploitation forestière sur l'équilibre du C dans les forêts de production restent rares.La présente thèse se concentre principalement sur l'évaluation de l'effet à long terme de l'intensité de l'exploitation forestière sur la séquestration de carbone dans une forêt à Diptérocarpées de Nord Bornéo (District de Malinau, Kalimantan Nord) exploitée en 1999/2000. Cinq principaux réservoirs de C, à savoir le C aérien dans les arbres vivants (AGC), le C souterrain dans les arbres vivants (BGC), le bois mort, la litière et le C organique du sol (SOC) ont été estimés le long d’un gradient d'intensité d'exploitation (0-57% de la biomasse perdue).Nos résultats ont montré que les stocks totaux de C, 16 ans après l'exploitation, variaient de 218 à 554 Mg C ha-1 avec une moyenne de 314 Mg C ha-1. Une différence de 95 Mg C ha-1 a été observée entre une faible intensité d'exploitation forestière (<2,1% de la biomasse initiale perdue) et une intensité d'exploitation élevée (>19%). La plus grande partie du C (environ 77%) était présente dans les arbres vivants, suivie par les stocks du sol (15%), les stocks de bois mort (6%) et une fraction mineure des stocks de litière (1%). L'empreinte de l'intensité de l'exploitation forestière était encore détectable 16 ans après l'exploitation et a été le principal facteur expliquant la réduction des AGC>20, BGC>20, du bois mort et des stocks de C et une augmentation du bois mort. L'intensité de l'exploitation expliquait à elle seule 61%, 63%, 38% et 48% des variations des AGC>20, BGC>20, du bois mort et des stocks de C totaux, respectivement. L'intensité de l'abattage a également réduit considérablement les stocks de SOC dans la couche supérieure de 30 cm. Pour l'ensemble des stocks de SOC (0-100 cm), l'influence de l'intensité de l'exploitation était encore perceptible, en conjonction avec d'autres variables.Nos résultats quantifient l'effet à long terme de l'exploitation forestière sur les stocks de C forestier, en particulier sur les AGC et les bois morts. L'intensité élevée de l'exploitation forestière (réduction de 50% de la biomasse initiale) a réduit les stocks totaux de C de 27%. La récupération de l'AGC était plus faible dans les parcelles d'intensité d'exploitation forestière élevée, ce qui suggère une résilience plus faible de la forêt à l'exploitation forestière. Par conséquent, une intensité d'exploitation forestière inférieure à 20%, devrait être envisagé afin de limiter l'effet à long terme sur les AGC et le bois mort. / Tropical forests are a major reservoir of biodiversity and carbon (C), playing a pivotal role in global ecosystem function and climate regulation. However, most of the tropical forests, especially Bornean forests in Southeast Asia, are under intense pressure and threatened by anthropogenic activities such as logging, mining industry, agriculture and conversion to industrial plantation. In 2010, the area of production forests in Borneo was 26.8 million ha (approx. 36% of the total land area of Borneo) including 18 million ha (approx. 24%) of logged forests. Production forests are thus emerging as a dominant land-use, playing a crucial role in trading-off provision of goods and maintenance of ecosystem services, such as C and biodiversity retention.Selective logging is known to reduce both above- and below-ground biomass through the removal of a few large trees, while increasing deadwood stocks through collateral damages. By creating large gaps in the canopy, microclimates in the understory and on the forest floor change locally speeding up the decomposition of litter and organic matter. The extent of incidental damages, canopy openness, as well as the speed of C recovery, was shown to be primarily related to logging intensity. However, empirical evaluations of the long-term effect of logging intensity on C balance in production forests remain rare.The present thesis aims to assess the long-term effect of logging intensity on C sequestration in a north Bornean Dipterocarp forests (Malinau District, North Kalimantan) logged in 1999/2000. Five main C pools, namely above-ground (AGC) and below-ground (BGC) carbon in living trees, deadwood, litter, and soil organic carbon (SOC) were estimated along a logging intensity gradient (ranging from 0 to 57% of initial biomass removed).Our result showed that total C stocks 16 years after logging, ranged from 218-554 Mg C ha-1 with an average of 314 Mg C ha-1. A difference of 95 Mg C ha-1 was found between low logging intensity (<2.1% of initial biomass lost) and high logging intensity (>19%). Most C (approx. 77%) was found in living trees, followed by soil (15%), deadwood (6%), and a minor fraction in litter (1%). The imprint of logging intensity was still detectable 16 years after logging, and logging intensity thus was the main driver explaining the reduction of AGC>20, BGC>20, deadwood, and total C stocks and an increase in deadwood. Solely, logging intensity explained 61%, 63%, 38%, and 48% of variations of AGC>20, BGC>20, deadwood, and total C stocks, respectively. Logging intensity also significantly reduced SOC stocks in the upper 30 cm layer. For total SOC stocks (0-100 cm), the negative influence of logging intensity was still perceptible, being significant in conjunction with other variables.Our results quantify the long-term effect of logging on forest C stocks, especially on AGC and deadwood. High logging intensity (50% reduction of initial biomass) reduced total C stocks by 27%. AGC recovery was lower in high logging intensity plots, suggesting lowered forest resilience to logging. Our study showed that maintaining logging intensity, below 20% of the initial biomass, limit the long-term effect of logging on AGC and deadwood stocks.