This paper reviews the key role that Earth Observations(EO)play in achieving the Sustainable Development Goals(SDGs)as articulated in the 2030 Agenda document and in monitoring,measuring,and reporting on progress towa...This paper reviews the key role that Earth Observations(EO)play in achieving the Sustainable Development Goals(SDGs)as articulated in the 2030 Agenda document and in monitoring,measuring,and reporting on progress towards the associated targets.This paper also highlights how the Group on Earth Observations(GEO)would contribute to ensure the actual use of EO in support of the 2030 Agenda;and how the Global Earth Observations System of Systems meets requirements for efficient investments in science and technology and a good return on investment,which is elaborated in the Addis Ababa Action Agenda on development financing.Through a number of examples,we first discuss how extensive EO use would:provide a substantial contribution to the achievements of the SDGs by enabling informed decision-making and by allowing monitoring of the expected results;improve national statistics for greater accuracy,by ensuring that the data are“spatially-explicit”and directly contribute to calculate the agreed SDG Targets and Indicators support the fostering of synergy between the SDGs and multilateral environmental agreements by addressing cross-cutting themes such as climate and energy;and facilitate countries’approaches for working across different development sectors,which is,according to the special adviser on the 2030 Agenda,a key challenge to achieve the SDGs.We then focus on the role that GEO could play in enabling actual use of EO in support of the 2030 Agenda by directly addressing the Strategic Development Goal 17 on partnerships.展开更多
Previous discussion about the factors of the expanding trend of abandoned cultivation had focused only on universal factors and lacked evaluation of the regionality of the phenomenon. This paper demonstrated the Toraj...Previous discussion about the factors of the expanding trend of abandoned cultivation had focused only on universal factors and lacked evaluation of the regionality of the phenomenon. This paper demonstrated the Toraja’s regional characteristics and the influence of cultural endemism on decision-making about abandoning cultivation by an observation-oriented approach. Based on a causal framework constructed by field observation and geospatial data generation, an adjustment for overt covariates using the multivariate logistic regression model to draw the causal effect from hidden covariates was examined in two rice terraces with different water systems, i.e. irrigated field and rain-fed field. The result of sub-group analysis revealed that decisions about abandoning cultivation in Toraja were greatly associated with disadvantageous factors for intensive farming, i.e. “number of adjacent fields” and “soil erosion” rather than advantageous factors, i.e. “area of field” and “distance to roads”. Moreover, the result of interaction analysis which controlled the effect of topography revealed the powerful effect of particular decision factors only in rain-fed rice terrace: the “distance to roads” factor’s fairly negative contribution on abandoning cultivation (Odds ratio = 9.94E - 01, P value = 2.03E - 11), as well as the “number of adjacent field” factor’s positive contribution on abandoning cultivation (Odds ratio = 1.13E+00, P value = 3.65E - 04). Given the evidence from the explanation of these results by customary laws and land inheritance system for each site, therefore, it could be concluded that the screening and detection of cultural endemism’s influence was achieved using the algorithm this paper proposes.展开更多
文摘This paper reviews the key role that Earth Observations(EO)play in achieving the Sustainable Development Goals(SDGs)as articulated in the 2030 Agenda document and in monitoring,measuring,and reporting on progress towards the associated targets.This paper also highlights how the Group on Earth Observations(GEO)would contribute to ensure the actual use of EO in support of the 2030 Agenda;and how the Global Earth Observations System of Systems meets requirements for efficient investments in science and technology and a good return on investment,which is elaborated in the Addis Ababa Action Agenda on development financing.Through a number of examples,we first discuss how extensive EO use would:provide a substantial contribution to the achievements of the SDGs by enabling informed decision-making and by allowing monitoring of the expected results;improve national statistics for greater accuracy,by ensuring that the data are“spatially-explicit”and directly contribute to calculate the agreed SDG Targets and Indicators support the fostering of synergy between the SDGs and multilateral environmental agreements by addressing cross-cutting themes such as climate and energy;and facilitate countries’approaches for working across different development sectors,which is,according to the special adviser on the 2030 Agenda,a key challenge to achieve the SDGs.We then focus on the role that GEO could play in enabling actual use of EO in support of the 2030 Agenda by directly addressing the Strategic Development Goal 17 on partnerships.
文摘Previous discussion about the factors of the expanding trend of abandoned cultivation had focused only on universal factors and lacked evaluation of the regionality of the phenomenon. This paper demonstrated the Toraja’s regional characteristics and the influence of cultural endemism on decision-making about abandoning cultivation by an observation-oriented approach. Based on a causal framework constructed by field observation and geospatial data generation, an adjustment for overt covariates using the multivariate logistic regression model to draw the causal effect from hidden covariates was examined in two rice terraces with different water systems, i.e. irrigated field and rain-fed field. The result of sub-group analysis revealed that decisions about abandoning cultivation in Toraja were greatly associated with disadvantageous factors for intensive farming, i.e. “number of adjacent fields” and “soil erosion” rather than advantageous factors, i.e. “area of field” and “distance to roads”. Moreover, the result of interaction analysis which controlled the effect of topography revealed the powerful effect of particular decision factors only in rain-fed rice terrace: the “distance to roads” factor’s fairly negative contribution on abandoning cultivation (Odds ratio = 9.94E - 01, P value = 2.03E - 11), as well as the “number of adjacent field” factor’s positive contribution on abandoning cultivation (Odds ratio = 1.13E+00, P value = 3.65E - 04). Given the evidence from the explanation of these results by customary laws and land inheritance system for each site, therefore, it could be concluded that the screening and detection of cultural endemism’s influence was achieved using the algorithm this paper proposes.
