Kappas, Martin W.

[["dc.bibliographiccitation.firstpage","1506"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Atmosphere"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Xue, Lin"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Wyss, Daniel"],["dc.contributor.author","Putzenlechner, Birgitta"],["dc.contributor.editor","Rocha, Alfredo"],["dc.contributor.editor","Rodrigues, Mónica"],["dc.date.accessioned","2022-10-04T10:21:52Z"],["dc.date.available","2022-10-04T10:21:52Z"],["dc.date.issued","2022"],["dc.date.updated","2022-11-11T13:13:14Z"],["dc.description.abstract","Long-term drought variation provides a scientific foundation for water resource planning and drought mitigation. However, the spatiotemporal variation characteristics of drought in northeast China (NEC) are unclear. We conducted a comprehensive assessment of drought status and trends based on the Standardized Precipitation Evapotranspiration Index (SPEI) in NEC from 1990 until 2018. The findings show that: (1) the drying trend peaked in 2001, and then exhibited a mitigation tendency before drying again after 2013. The implementation of ecological restoration projects is primarily responsible for drought mitigation. (2) The areas with wetting and drying trends in the future would cover 86% and 17% of NEC, respectively. (3) There is a time lag between improved vegetation and the trend shift from dry to wet. (4) Spring and winter revealed wet trends within 71% and 84% of NEC, respectively, showing high sensitivity and resilience to drought, while 92–93% of NEC displayed dry tendencies during the summer and autumn seasons. The drought-affected area was the highest in summer and lowest in autumn. (5) The interannual drought severity was highest in May and June. (6) The highest drought impacts and trends occur within shrub and grass and sparsely vegetated land, as well as middle-temperate semiarid regions (M-semiarid). (7) The warmer the temperature zone, the more sensitive it is towards drought under the same hydrological conditions, showing a high drought-affected area. The drier the land, the higher the drought-affected area within the same temperature zone, with pronounced drought trends during the spring and summer seasons. Our findings highlight the need for the government to more explicitly develop drought mitigation strategies in accordance with NEC’s spatiotemporal drought variations and specifically the need to concentrate on droughts in M-semiarid regions occurring in summer, particularly in May and June."],["dc.identifier.doi","10.3390/atmos13091506"],["dc.identifier.pii","atmos13091506"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/114522"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-600"],["dc.publisher","MDPI"],["dc.relation.eissn","2073-4433"],["dc.rights","Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)."],["dc.title","Assessing the Drought Variability in Northeast China over Multiple Temporal and Spatial Scales"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","38"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Land"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Xue, Zhichao"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Wyss, Daniel"],["dc.date.accessioned","2021-04-14T08:29:39Z"],["dc.date.available","2021-04-14T08:29:39Z"],["dc.date.issued","2021"],["dc.description.sponsorship","Sino-German (CSC-DAAD) Postdoc Scholarship Program"],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.3390/land10010038"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82959"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","2073-445X"],["dc.relation.orgunit","Geographisches Institut"],["dc.rights","CC BY 4.0"],["dc.title","Spatio-Temporal Grassland Development in Inner Mongolia after Implementation of the First Comprehensive Nation-Wide Grassland Conservation Program"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","15"],["dc.bibliographiccitation.journal","Sensors"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Erdanaev, Elbek"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Wyss, Daniel"],["dc.date.accessioned","2022-08-04T07:59:03Z"],["dc.date.available","2022-08-04T07:59:03Z"],["dc.date.issued","2022-07-29"],["dc.date.updated","2022-08-03T16:35:17Z"],["dc.description.abstract","Appropriate crop type mapping to monitor and control land management is very important in developing countries. It can be very useful where digital cadaster maps are not available or usage of Remote Sensing (RS) data is not utilized in the process of monitoring and inventory. The main goal of the present research is to compare and assess the importance of optical RS data in crop type classification using medium and high spatial resolution RS imagery in 2018. With this goal, Landsat 8 (L8) and Sentinel-2 (S2) data were acquired over the Tashkent Province between the crop growth period of May and October. In addition, this period is the only possible time for having cloud-free satellite images. The following four indices “Normalized Difference Vegetation Index” (NDVI), “Enhanced Vegetation Index” (EVI), and “Normalized Difference Water Index” (NDWI1 and NDWI2) were calculated using blue, red, near-infrared, shortwave infrared 1, and shortwave infrared 2 bands. Support-Vector-Machine (SVM) and Random Forest (RF) classification methods were used to generate the main crop type maps. As a result, the Overall Accuracy (OA) of all indices was above 84% and the highest OA of 92% was achieved together with EVI-NDVI and the RF method of L8 sensor data. The highest Kappa Accuracy (KA) was found with the RF method of L8 data when EVI (KA of 88%) and EVI-NDVI (KA of 87%) indices were used. A comparison of the classified crop type area with Official State Statistics (OSS) data about sown crops area demonstrated that the smallest absolute weighted average (WA) value difference (0.2 thousand ha) was obtained using EVI-NDVI with RF method and NDVI with SVM method of L8 sensor data. For S2-sensor data, the smallest absolute value difference result (0.1 thousand ha) was obtained using EVI with RF method and 0.4 thousand ha using NDVI with SVM method. Therefore, it can be concluded that the results demonstrate new opportunities in the joint use of Landsat and Sentinel data in the future to capture high temporal resolution during the vegetation growth period for crop type mapping. We believe that the joint use of S2 and L8 data enables the separation of crop types and increases the classification accuracy."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.doi","10.3390/s22155683"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112618"],["dc.language.iso","en"],["dc.relation.eissn","1424-8220"],["dc.rights","CC BY 4.0"],["dc.title","Irrigated Crop Types Mapping in Tashkent Province of Uzbekistan with Remote Sensing-Based Classification Methods"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","90"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Land"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Herzberg, Ronja"],["dc.contributor.author","Pham, Tung Gia"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Wyss, Daniel"],["dc.contributor.author","Tran, Chau Thi Minh"],["dc.date.accessioned","2019-07-04T08:20:02Z"],["dc.date.available","2019-07-04T08:20:02Z"],["dc.date.issued","2019"],["dc.description.abstract","Land evaluation is a process that is aimed at the sustainable development of agricultural production in rural areas, especially in developing countries. Therefore, land evaluation involves many aspects of natural conditions, economic, and social issues. This research was conducted in a hilly region of Central Vietnam to assess the land suitability of potential agricultural land use types that are based on scientific and local knowledge. In the frame of this research, Participatory Rural Appraisal (PRA); Analytical Hierarchy Analysis (AHP); Geographic Information System (GIS); and, scoring based scientific literature and local knowledge were applied for Multi-Criteria Decision Analysis (MCDA) for land use evaluation. The results of the PRA survey reveal that five plants o er great agricultural potential in the research area, namely rice, cassava, acacia, banana, and rubber. The land suitability of each plant type varies, depending on physical conditions as well as economic and social aspects. Acacia and cassava represent the most suitable plant types in the research area. Recommendations regarding agricultural land use planning in the A Luoi district are brought forward based on the land evaluation results. The combination of scientific and local knowledge in land assessment based on GIS technology, AHP, and PRA methods is a promising approach for land evaluation."],["dc.identifier.doi","10.3390/land8060090"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16237"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58006"],["dc.language.iso","en"],["dc.notes.intern","Open Access"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.publisher","MDPI"],["dc.relation.eissn","2073-445X"],["dc.relation.issn","2073-445X"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Multi-Criteria Decision Analysis for the Land Evaluation of Potential Agricultural Land Use Types in a Hilly Area of Central Vietnam"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","249"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Land"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Pham Thi, Nhung"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Wyss, Daniel"],["dc.date.accessioned","2021-04-14T08:23:46Z"],["dc.date.available","2021-04-14T08:23:46Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.3390/land9080249"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17482"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81040"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","2073-445X"],["dc.rights","CC BY 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Benefits and Constraints of the Agricultural Land Acquisition for Urbanization for Household Gender Equality in Affected Rural Communes: A Case Study in Huong Thuy Town, Thua Thien Hue Province, Vietnam"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]